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Correction to: Transient analysis of piecewise homogeneous Markov fluid models Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-21 Salah Al-Deen Almousa, Gábor Horváth, Miklós Telek
At the time of the final publication of the paper, in December 2016, Yixin Zhao’s affiliation had changed.
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Reliability of spare routing via intersectional minimal paths within budget and time constraints by simulation Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-21 Yi-Kuei Lin, Cheng-Fu Huang, Chin-Chia Chang
A stochastic flow network composed of multistate arcs can be utilized to describe several practical systems such as computer networks, where transmission time taken for sending data to a sink is an important index. Determining a path with minimum transmission time is known as the quickest path problem (QPP). All algorithms addressing the QPP assume that the determined minimal paths (MPs) are disjoint
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A minimax approach for selecting the overall and stage-level most efficient unit in two stage production processes Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-21 Volkan Soner Özsoy, Mediha Örkcü, H. Hasan Örkcü
Data envelopment analysis (DEA) is a very effective management tool in assessing the performance of a set of decision making units (DMUs). In the efficiency evaluation using classic single stage DEA models, the internal processes of the DMUs are often neglected. In most real-world problems, it may be more realistic to evaluate the efficiency evaluation in two-stage production systems. In some cases:
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Improving P300 Speller performance by means of optimization and machine learning Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-20 Luigi Bianchi, Chiara Liti, Giampaolo Liuzzi, Veronica Piccialli, Cecilia Salvatore
Brain-Computer Interfaces (BCIs) are systems allowing people to interact with the environment bypassing the natural neuromuscular and hormonal outputs of the peripheral nervous system (PNS). These interfaces record a user’s brain activity and translate it into control commands for external devices, thus providing the PNS with additional artificial outputs. In this framework, the BCIs based on the P300
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Adoption and use of AI tools: a research agenda grounded in UTAUT Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-19 Viswanath Venkatesh
This paper is motivated by the widespread availability of AI tools, whose adoption and consequent benefits are still not well understood. As a first step, some critical issues that relate to AI tools in general, humans in the context of AI tools, and AI tools in the context of operations management are identified. A discussion of how these issues could hinder employee adoption and use of AI tools is
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Heavy traffic analysis for single-server SRPT and LRPT queues via EDF diffusion limits Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-19 Łukasz Kruk
Extending the results of Kruk (Queueing theory and network applications. QTNA 2019. Lecture notes in computer science, vol 11688. Springer, Cham, pp 263–275, 2019), we derive heavy traffic limit theorems for a single server, single customer class queue in which the server uses the Shortest Remaining Processing Time (SRPT) policy from heavy traffic limits for the corresponding Earliest Deadline First
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The antagonism and cohesion of the upstream supply chain under information asymmetry Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-19 Aijun Liu, Senhao Luo, Jian Mou, Hongwei Qiu
Information asymmetry leads to short-term competitive antagonism between downstream manufacturers and upstream suppliers. This paper applies a master-slave game to reproduce the interest conflict between a manufacturer and a supplier, and proposes a cooperative decision-making model based on information sharing, considering the interest consistency of upstream supply chain members. Additionally, the
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Step cost functions in a fleet size and mix vehicle routing problem with time windows Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-18 João L. V. Manguino, Débora P. Ronconi
The vehicle routing problem is a traditional combinatorial problem with practical relevance for a wide range of industries. In the literature, several specificities have been tackled by dedicated methods in order to better reflect real-world situations. Following this trend, this article addresses the fleet size and mix vehicle routing problem with time windows in which companies hire a third-party
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Disruptive technologies in agricultural operations: a systematic review of AI-driven AgriTech research Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-18 Konstantina Spanaki, Uthayasankar Sivarajah, Masoud Fakhimi, Stella Despoudi, Zahir Irani
The evolving field of disruptive technologies has recently gained significant interest in various industries, including agriculture. The fourth industrial revolution has reshaped the context of agricultural technology (AgriTech) with applications of artificial intelligence (AI) and a strong focus on data-driven analytical techniques. Motivated by the advances in AgriTech for agrarian operations, the
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Herding and feedback trading in cryptocurrency markets Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-13 Timothy King, Dimitrios Koutmos
This paper examines the extent to which herding and feedback trading behaviors drive price dynamics across nine major cryptocurrencies. Using sample price data from bitcoin, ethereum, XRP, bitcoin cash, EOS, litecoin, stellar, cardano and IOTA, respectively, we document heterogeneity in the types of feedback trading strategies investors utilize across markets. Whereas some cryptocurrency markets show
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Variance reduction for sequential sampling in stochastic programming Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-11 Jangho Park, Rebecca Stockbridge, Güzin Bayraksan
This paper investigates the variance reduction techniques Antithetic Variates (AV) and Latin Hypercube Sampling (LHS) when used for sequential sampling in stochastic programming and presents a comparative computational study. It shows conditions under which the sequential sampling with AV and LHS satisfy finite stopping guarantees and are asymptotically valid, discussing LHS in detail. It computationally
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Sequential data envelopment analysis Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-09 Rolf Färe, Valentin Zelenyuk
We consider a new class of Data Envelopment Analysis (DEA) modeling, which we call ‘sequential DEA’. This new approach is a relatively simple generalization of the standard and popular in practice DEA. It allows for analyzing efficiency of the decision making units that consist of a sequence of sub-DMUs (e.g., branches of banks, hospital holding company running a number of hospitals at different locations
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Supply chain disruptions and resilience: a major review and future research agenda Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-08 K. Katsaliaki, P. Galetsi, S. Kumar
Our study examines the literature that has been published in important journals on supply chain disruptions, a topic that has emerged the last 20 years, with an emphasis in the latest developments in the field. Based on a review process important studies have been identified and analyzed. The content analysis of these studies synthesized existing information about the types of disruptions, their impact
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Bi-objective optimisation over a set of convex sub-problems Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-08 Guillermo Cabrera-Guerrero, Matthias Ehrgott, Andrew J. Mason, Andrea Raith
During the last decades, research in multi-objective optimisation has seen considerable growth. However, this activity has been focused on linear, non-linear, and combinatorial optimisation with multiple objectives. Multi-objective mixed integer (linear or non-linear) programming has received considerably less attention. In this paper we propose an algorithm to compute a finite set of non-dominated
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Solving a bi-objective unmanned aircraft system location-allocation problem Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-06 Mumtaz Karatas, Ertan Yakıcı, Abdullah Dasci
In this paper we introduce a bi-objective location-allocation problem for Unmanned Aircraft Systems (UASs) operating in a hostile environment. The objective is to find the locations to deploy UASs and assign Unmanned Aerial Vehicles to regions for surveillance. One of the objectives is to maximize search effectiveness, while the second is the minimization of the threats posed to the UASs. These two
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Stackelberg-Nash equilibrium and quasi harmonic games Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-06 Lina Mallozzi, Armando Sacco
Security solutions for two stage games, where the second stage consists of a strategic form noncooperative game, are not reachable in many problems. The aim of this paper is to investigate such solutions. Mixed extension for the second stage game is considered and existence results for approximate mixed security solutions, together with the convergences of values, are given and illustrated by significative
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Consensus reaching with the externality effect of social network for three-way group decisions Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-05 Mingwei Wang, Decui Liang, Zeshui Xu, Wen Cao
Three-way group decisions provide an efficient method to settle complex and high risk decision-making problems. To obtain reasonable decision results that satisfy different backgrounds and knowledge of decision makers, it is necessary to design a proper consensus reaching process (CRP) for loss functions of decision-theoretic rough sets (DTRSs). Unlike existing researches, this paper not only extends
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Tactical level strategies for multi-objective disassembly line balancing problem with multi-manned stations: an optimization model and solution approaches Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-05 Ömer Faruk Yılmaz, Büşra Yazıcı
The disassembly line plays a vital role to recover the products for remanufacturing enterprises. For this reason, designing and balancing of the disassembly line are important to utilize the economic and tactical benefits. This study explores a multi-objective disassembly line balancing problem (MODLBP) from a different point of view by considering the workers’ heterogeneity and the multi-manned stations
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How SERU production system improves manufacturing flexibility and firm performance: an empirical study in China Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-05 Chang Liu, Zhen Li, Jiafu Tang, Xuequn Wang, Ming-Jong Yao
SERU production system (SERU) demonstrates more manufacturing flexibility in response to volatile market demands. Although many firms have implemented SERU successfully, little research on manufacturing flexibility in SERU exists, especially empirical evidence in the context of Chinese firms. Manufacturing flexibility considers two major dimensions in SERU, namely, product mix flexibility and volume
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A trade-off multiobjective dynamic programming procedure and its application to project portfolio selection Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-05 Maciej Nowak, Tadeusz Trzaskalik
We consider a stochastic discrete multiobjective programming process with a finite number of stages. The number of states at each stage and the number of feasible decisions at each state are also finite. The aim of the paper is to propose a new interactive procedure for such a problem based on trade-off analysis. The procedure is illustrated with project portfolio selection. There are many organizations
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The Banzhaf value for generalized probabilistic communication situations Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-05 Jilei Shi, Erfang Shan
In this paper we generalize the graph Banzhaf value, proposed by Alonso-Meijide and Fiestras-Janeiro (Naval Res Logist 53(3):198–203, 2006) in the deterministic communication situations, to the generalized probabilistic communication situations. This new value is called the probabilistic Banzhaf value. We provide two axiomatic characterizations of the value by the probabilistic versions of component
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A stochastic programming model for an energy planning problem: formulation, solution method and application Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-04 Chandra Ade Irawan, Peter S. Hofman, Hing Kai Chan, Antony Paulraj
The paper investigates national/regional power generation expansion planning for medium/long-term analysis in the presence of electricity demand uncertainty. A two-stage stochastic programming is designed to determine the optimal mix of energy supply sources with the aim to minimise the expected total cost of electricity generation considering the total carbon dioxide emissions produced by the power
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A new framework of complex system reliability with imperfect maintenance policy Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-04 Mengmeng Zhu
The interactions and dependencies between software and hardware are often neglected in modeling system reliability in the past few decades due to the mathematical complexity. However, many system failures occurred from the interactions or simultaneous occurrences of software and hardware. This paper first proposes a new diagram of categorizing system-level failures and further incorporates such a diagram
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Information advantage and payment disadvantage when selling goods through a powerful retailer Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-04 Baozhuang Niu, Zifan Shen, Qiyang Li
In practice, selling goods through a powerful retailer such as Wal-Mart enables the supplier to access the retailer’s ERP for accurate demand information (e.g., Wal-Mart’s Retail Link). However, in the recent years, we observe the suppliers are suffering from longer and longer average account period when they contract with powerful retailers. Therefore, whether partnering with a powerful retailer at
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Integrated proactive and reactive strategies for sustainable berth allocation and quay crane assignment under uncertainty Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-04 Caimao Tan, Junliang He
The berth allocation and quay crane assignment problem (BACAP) is a complex port operation planning problem susceptible to uncertainties, such as vessel arrival time fluctuation to its estimated time of arrival and maritime markets. For promoting reliability and sustainability of container terminals, this paper addresses the optimization of BACAP under the uncertain vessels’ arrival times and fluctuation
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Stock exchange efficiency and convergence: international evidence Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Ephraim Clark, Zhuo Qiao
This paper measures the efficiency and convergence of 37 stock exchanges in 35 countries over the period from 2006 to 2014, a period that encompasses a full business cycle of growth, recession and recovery. We combine a multi-stage data envelopment analysis with the window analysis approach to filter out the impact of economic environmental variables on stock exchange efficiency in the provision of
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Impact of research and development tax credits on the innovation and operational efficiencies of Internet of things companies in Taiwan Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Qian Long Kweh, Wen-Min Lu, Fengyi Lin, Yung-Jr Deng
Following the emergence of the Internet, the Internet of things (IOT) brought about another wave of technological and economic revolutions. Through the lens of the production process, this study utilises the dynamic network slack-based measure model in data envelopment analysis to evaluate 32 IOT companies in Taiwan in terms of their innovation efficiency, operational efficiency and overall efficiency
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Performance measurement of sustainable freight transportation: a consensus model and FERA approach Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Vijayta Fulzele, Ravi Shankar
Sustainable freight transportation is aimed at reducing environmental emissions and social inequity along with economic inefficiency to drive the business. Lack of a continuous sustainability assessment and monitoring tool increases the reluctance of freight transporters to adopt world-class sustainability practices. This paper attempts to develop the performance index for a sustainable freight transportation
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Inefficiency source tracking: evidence from data envelopment analysis and random forests Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Abdel Latef Anouze, Imad Bou-Hamad
In the present era of complex environments, banks operate in a more dynamic environment, which in turn, affects their relative efficiency. Traditional Data envelopment analysis (DEA) models are widely used to measure efficiency. However, environmental/exogenous variables can significantly influence the DEA efficiency scores. Therefore, identifying the most important environmental variables is crucial
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Process innovation for green product in a closed loop supply chain with remanufacturing Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Junwu Chai, Zhifeng Qian, Feng Wang, Jing Zhu
The rapid development of green products, such as electric vehicle (EV) batteries, has brought about challenges in recycling and remanufacturing. To help tackle these challenges, in this research, we investigate how process innovation affects green product remanufacturing. Specifically, using game-theoretic models, we analyze process innovation strategies for green product remanufacturing in a closed-loop
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Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Soheyl Khalilpourazari, Hossein Hashemi Doulabi
World Health Organization (WHO) stated COVID-19 as a pandemic in March 2020. Since then, 26,795,847 cases have been reported worldwide, and 878,963 lost their lives due to the illness by September 3, 2020. Prediction of the COVID-19 pandemic will enable policymakers to optimize the use of healthcare system capacity and resource allocation to minimize the fatality rate. In this research, we design a
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A novel reliability calculation method under neutrosophic environments Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Kuei-Hu Chang
System reliability design and evaluation have a significant effect on the competitiveness of products and the sustainable development of enterprises. In the initial stage of system design, it must be discussed the truth-membership function, indeterminacy-membership function and falsity-membership function of basic failure events from different perspectives which belong to neutrosophic environments
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A structural mathematical model on two echelon supply chain system Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Shib Sankar Sana
As the people are becoming conscious about protection of the environment from pollutant caused by human beings, businesses are adopting green technology to procure green products to save the environment from pollution. Consequently, it is a challenging task at the firm manager to capture the market providing best green quality at fair price in a given economy. The paper plans to discuss two situations
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Stochastic efficiencies of network production systems with correlated stochastic data: the case of Taiwanese commercial banks Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Chiang Kao, Shiang-Tai Liu
Although the business environment is stochastic, deterministic data envelopment analysis (DEA) models are typically used to measure the efficiency of commercial banks for the purpose of simplicity. Bank operations are characterized by a network structure due to the dual role of deposits, which, on the one hand, are the output of the process of borrowing funds from depositors and, on the other hand
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Application of Industry 4.0 technologies for effective coordination in humanitarian supply chains: a strategic approach Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Pravin Kumar, Rajesh Kr Singh
The coordination in post-disaster functions is a major challenge for the humanitarian supply chains. Due to uncertainty and temporary nature of the disasters, it becomes very difficult to ensure coordination among the aid organizations engaged in the humanitarian supply chain. The increasing incidents of the natural, technological and man-made disasters have attracted the attention of the researchers
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A decision support system for liability in civil litigation: a case study from an insurance company Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Wen Zhang, Andrew Dunkley, Urvi Kanabar, David Elliott, Henry P. Wynn
The use of statistical and AI methods in civil litigation is an area likely to expand. As with many areas of social science, the data requirements are high but complex, because of the complexity of the legal process and the nature of the causal connections. This paper looks at the early stage of the process where the initial establishment of liability acts as a legal triage which affects the route
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Bi-objective dynamic weapon-target assignment problem with stability measure Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Ahmet Silav, Esra Karasakal, Orhan Karasakal
In this paper, we develop a new bi-objective model for dynamic weapon-target assignment problem. We consider that the initial weapon assignment plan of defense is disrupted during engagement because of a destroyed air target, breakdown of a weapon system or a new incoming air target. The objective functions are defined as the maximization of probability of no-leaker and the maximization of stability
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Closed form valuation of barrier options with stochastic barriers Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Tristan Guillaume
This article deals with the computation of the probability, for a GBM (geometric Brownian motion) process, to hit sequences of one-sided stochastic boundaries defined as GBM processes, over a closed time interval. Explicit formulae are obtained, allowing the analytical valuation of all the main kinds of barrier options in a much more general setting than the usual one assuming constant or time-dependent
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Artificial intelligence for decision support systems in the field of operations research: review and future scope of research Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Shivam Gupta, Sachin Modgil, Samadrita Bhattacharyya, Indranil Bose
Operations research (OR) has been at the core of decision making since World War II, and today, business interactions on different platforms have changed business dynamics, introducing a high degree of uncertainty. To have a sustainable vision of their business, firms need to have a suitable decision-making process at each stage, including minute details. Our study reviews and investigates the existing
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Exploring cognitive aspects of FITradeoff method using neuroscience tools Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Anderson Lucas Carneiro de Lima da Silva, Ana Paula Cabral Seixas Costa, Adiel Teixeira de Almeida
Multiple decision support methods have been developed to support multi-criteria problems, offering a structured approach. One such method is FITradeoff, which is based on tradeoff, and has a strong axiomatic structure. Implemented in a Decision Support System, FITradeoff offers an experience with low cognitive effort and time demanded by the decision maker. Despite its advantages, some issues remain
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Does data-driven culture impact innovation and performance of a firm? An empirical examination Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Sheshadri Chatterjee, Ranjan Chaudhuri, Demetris Vrontis
Data-driven culture is considered to bring business-oriented cultural transformation to a firm. It is considered to provide substantial dividends to the firms’ product and process innovations. Recently, several firms have been using different advanced technology-embedded business analytics (BA) tools to improve their business performance. Again, advancement of information and communication technology
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Service provider portfolio selection for project management using a BP neural network Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Libiao Bai, Kanyin Zheng, Zhiguo Wang, Jiale Liu
Service provider portfolio selection (SPPS) can be a major challenge for organizations to achieve project success. Hence, organizations need to decide on which service provider portfolio (SPP) is appropriate for project management (PM). However, there has been limited research on how to select a SPP in PM. To address this research gap, we establish a novel model for SPPS based on a BP neural network
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Information leakage in a cross-border logistics supply chain considering demand uncertainty and signal inference Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Baozhuang Niu, Zhipeng Dai, Lei Chen
In cross-border logistics, mainline carriers (MCs) confronting demand uncertainty have to share their information with the overseas regional carrier (RC) via information system or electronic data interchange. However, does the RC or the incumbent MC have incentives to disclose the demand information to a new MC? The new MC competes with the incumbent MC but has no demand information, while the incumbent
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Resale value guaranteed strategy, information sharing and electric vehicles adoption Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Xiang Zhang, Chenguang Zhao
A resale value guaranteed (RVG) strategy has emerged as a novel way to alleviate EV purchasers’ resale anxiety. However, certain questions, such as when to initiate a RVG strategy and whether to share information with supply chain partners, are unanswered. In this study, we aim to investigate the impacts of a RVG strategy and reliability of a RVG decision on EV adoption and supply chain performance
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The Brexit impact on European market co-movements Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-03 Hachmi Ben Ameur, Waël Louhichi
The aim of this paper is to investigate the impact of Brexit on the dependence between European financial markets. We use the Diebold and Yilmaz (2009, 2012) approach to better map the relationship between the three main European markets and we propose an Optimal portfolio weighting to gain insights into the portfolio design dynamics in the period between 2013 and 2019, in particular any changes due
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Decision-based scenario clustering for decision-making under uncertainty Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-02 Mike Hewitt, Janosch Ortmann, Walter Rei
In order to make sense of future uncertainty, managers have long resorted to creating scenarios that are then used to evaluate how uncertainty affects decision-making. The large number of scenarios that are required to faithfully represent several sources of uncertainty leads to major computational challenges in using these scenarios in a decision-support context. Moreover, the complexity induced by
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A discrete event simulation model for coordinating inventory management and material handling in hospitals Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-02 Amogh Bhosekar, Sandra Ekşioğlu, Tuğçe Işık, Robert Allen
Inventory management of surgical instruments and material handling decisions of perioperative services are critical to hospitals’ and operating rooms’ (ORs) service levels and costs. However, efficiently coordinating these decisions is challenging due to their interdependence and the uncertainties faced by hospitals. These challenges motivated the development of this study to answer the following research
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Optimal advance selling strategy with information provision for omni-channel retailers Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-02 Wen Zhang, Yi He, Qinglong Gou, Weizhe Yang
Demand information and consumer valuation uncertainty of new products have significant impacts on both consumers’ purchasing behavior and retail operations. To address the information transparency for new products launching, this study examines the profitability of omni-channel pre-ordering (i.e., compared to traditional online pre-ordering), a new advance selling strategy for retailers whereby consumers
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A successive censoring algorithm for a system of connected LDQBD-processes Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-01 Niek Baer, Ahmad Al Hanbali, Richard J. Boucherie, Jan-Kees van Ommeren
We consider a Markov Chain in which the state space is partitioned into sets where both transitions within sets and between sets have a special structure. Transitions within each set constitute a finite level dependent quasi-birth-and-death-process (LDQBD), and transitions between sets are restricted to six types of transitions. These latter types are needed to preserve the sets structure in the reduction
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Spectrum allocation strategy with a probabilistic preemption scheme in cognitive radio networks: analysis and optimization Ann. Oper. Res. (IF 2.583) Pub Date : 2021-01-01 Yuan Zhao, Wuyi Yue, Zsolt Saffer
In this paper, we propose a probabilistic preemption scheme in cognitive radio networks that will simultaneously ensure the primary user (PU) packets’ Quality of Service (QoS) and the secondary user (SU) packets’ transmission continuity. This scheme differs from a complete preemption scheme or a complete non-preemption scheme in conventional cognitive radio networks in that a PU packet can interrupt
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System reliability analysis for a cloud-based network under edge server capacity and budget constraints Ann. Oper. Res. (IF 2.583) Pub Date : 2020-12-21 Cheng-Fu Huang, Ding-Hsiang Huang, Yi-Kuei Lin
In this paper, a modern computer network, cloud-based network, which comprises internet of things (IoT), edge servers, and cloud servers for data transmission, is investigated and evaluated. A cloud-based network is modeled as a graph having a set of nodes and a set of links. Each link represents a transmission route, and each node represents a device, such as an IoT device, edge server, and cloud
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Identifying Fintech risk through machine learning: analyzing the Q&A text of an online loan investment platform Ann. Oper. Res. (IF 2.583) Pub Date : 2020-12-21 Huosong Xia, Jing Liu, Zuopeng Justin Zhang
Financial risks associated with Fintech have been increasing with its significant growth in recent years. Aiming at addressing the problem of identifying risks in online lending investment under a financial technology platform, we develop a Q&A text risk recognition model based on attention mechanism and Bi-directional Long Short-Term Memory. First, the Q&A pairing on the text data set is carried out
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Corporate social responsibility: How much is enough? A higher dimension perspective of the relationship between financial and social performance Ann. Oper. Res. (IF 2.583) Pub Date : 2020-12-17 Iordanis Kalaitzoglou, Hui Pan, Jacek Niklewski
We investigate the nature of the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP) by examining how it changes across a third dimension that accounts for firm-specific factors. We propose a semi-latent specification of an endogenous control variable, which can, for the first time, explicitly identify, for each individual firm, the threshold level where
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Product bundling and advertising strategy for a duopoly supply chain: a power-balance perspective Ann. Oper. Res. (IF 2.583) Pub Date : 2020-12-09 Sarat Kumar Jena, Abhijeet Ghadge
The paper studies product bundling in a duopoly supply chain network under the influence of different power-balance structures, bundling decisions and advertising efforts on total supply chain profit. Mathematical models comprising two manufacturers and a single retailer are developed to capture the impact of bundling policy and advertisement strategy under three power-balance structures, namely Manufacturer
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Transient analysis of piecewise homogeneous Markov fluid models Ann. Oper. Res. (IF 2.583) Pub Date : 2020-12-08 Salah Al-Deen Almousa, Gábor Horváth, Miklós Telek
Piecewise homogeneous Markov fluid models are composed by homogeneous intervals where the model is governed by an interval dependent pair of generators and the model behaviour changes at the boundaries. The main difficulty of the transient analysis of piecewise homogeneous Markov fluid models is the appropriate description of the various boundary cases. The paper proposes an analytical approach to
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Developing a hybrid evaluation approach for the low carbon performance on sustainable manufacturing environment Ann. Oper. Res. (IF 2.583) Pub Date : 2020-12-07 Sadia Samar Ali, Rajbir Kaur, D. Jinil Persis, Raiswa Saha, Murugan Pattusamy, V. Raja Sreedharan
Societal emergence and sustainability are results of human actions and practices which can either imbalance it with maximum exploitation or retain it through responsible utilization of resources. Based on theories on institutional and resource-based views, the study explores the enablers of green sustainable practices of procurement, logistics, product and process design and regulatory frameworks for
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Performance of recurrent event models on defect proneness data Ann. Oper. Res. (IF 2.583) Pub Date : 2020-12-07 M. K. Lintu, Asha Kamath
The repeated occurrence of the same event in a process is commonly observed in many domains. Such events are referred to as recurrent events. The time to occurrence of these repeated events varies from unit to unit with a possibility of events not occurring among some of the units. Invariably such data are dealt with using some of the techniques in survival analysis called recurrent event models, which
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Is liquidity wasted? The zero-returns on the Warsaw Stock Exchange Ann. Oper. Res. (IF 2.583) Pub Date : 2020-12-04 Barbara Będowska-Sójka
The purpose of our study is to examine the dynamics of various liquidity proxies around specific price formation within intraday data. We examine the behavior of the measures representing price impact, depth of the market, its width and elasticity around intraday zero-return observations. Our sample is based upon quotations of blue chip stocks listed on the Warsaw Stock Exchange, one of the European
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Differential game analysis of carbon emissions reduction and promotion in a sustainable supply chain considering social preferences Ann. Oper. Res. (IF 2.583) Pub Date : 2020-11-09 Liangjie Xia, Yongwan Bai, Sanjoy Ghose, Juanjuan Qin
We incorporate consumer low-carbon awareness and social preferences, including relationship and status preferences, into a game of emissions reduction and promotion involving one manufacturer and one retailer using a long-term perspective. We investigate the channel members’ decision making and performance under three scenarios, including a decentralized scenario both with and without a cost-sharing
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Pension fund management with investment certificates and stochastic dominance Ann. Oper. Res. (IF 2.583) Pub Date : 2020-11-09 Sebastiano Vitali, Vittorio Moriggia
This paper considers an extension of the common asset universe of a pension fund to investment certificates. Investment certificates are a class of structured products particularly interesting for their special payoff structures and they are acquiring relevancy in the worldwide markets. In fact, some subclasses of certificates offer loss protection and show high liquidity and, thus, they can be very
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