样式: 排序: IF: - GO 导出 标记为已读
-
Antecedents of radical innovation speed from a knowledge network perspective Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-17 Mengyang Pan, Qiong Chen, Wenli Xiao
In the context of radical innovation, we draw from knowledge network theory to investigate how the firm can manage its alliance portfolio to speed up radical innovation that relies predominantly on scientific knowledge. Specifically, we examine how the firm's innovation alliance network composition and its position in the network affect radical innovation speed. In analyzing empirical data on COVID-19-related
-
Reducing emissions from production and distribution in three-echelon supply chains Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-11 Abu Hashan Md Mashud, Ripon K. Chakrabortty, Omar K. Hussain, Tsan-Ming Choi
Reducing carbon emissions is one of the key goals of contemporary supply chains and logistics. This paper aims to formulate a novel three-echelon (supplier-3PL-retailer) supply chain model comprising green technology investment, variable demand, variable lead time, a dynamic shipping strategy, and an option for vehicle selection. The demand function considers the product's freshness index and maximum
-
A web-based interactive decision support system for a multi-objective lot-sizing and production scheduling model Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-11 Yannik Zeiträg, José Rui Figueira, Miguel Alves Pereira
In the course of globalization and the corresponding steadily growing market dynamics, companies are faced with an increasing challenge to remain competitive. Therefore, the efficient use of the available resources, while maintaining a high level of service and customer satisfaction, is a key instrument for ensuring success. Within this framework, production scheduling can be seen as one of the most
-
Technician routing and scheduling with employees’ learning through implicit cross-training strategy Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-11 Xi Chen, Kaiwen Li, Sidian Lin, Xiaosong Ding
With record high talent shortages and skill mismatches around the world, this paper investigates a variant of multi-period dynamic technician and routing problem that can be modeled as a Markov decision process. To deal with the double tradeoffs between the routing and service time costs, as well as the current and future costs, we propose an approximate dynamic programming (ADP)-based cost function
-
Multi-level digital twin-driven kitting-synchronized optimization for production logistics system Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-09 Yanghua Pan, Ray Y. Zhong, Ting Qu, Liqiang Ding, Jun Zhang
The kit production mode is favored by many manufacturing companies due to its ability to meet customized and personalized customer demands through versatile combinations. However, it also poses significant challenges to production management. In the production process, companies need to consider not only horizontal coordination between upstream and downstream stages of the production logistics system
-
Balancing and scheduling of assembly line with multi-type collaborative robots Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-07 Zhaofang Mao, Yiting Sun, Kan Fang, Dian Huang, Jiaxin Zhang
Human–robot collaboration (HRC) is a promising production mode that is in line with the vision of human-centered Industry 4.0. HRC contributes to the improvement of productivity as well as the reduction of workers’ ergonomic risk. In this study, we present one of the first attempts to address the assembly line balancing problem with multi-type collaborative robots (cobots), which allows human and robots
-
Augmenting Monte Carlo Tree Search for managing service level agreements Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-07 Masih Fadaki, Atie Asadikia
Monte Carlo Tree Search (MCTS) is an algorithmic technique utilized in reinforcement learning, a subfield of artificial intelligence, that combines tree-based search and random sampling for decision-making in uncertain environments. Although MCTS has been successfully used for playing complex games such as Chess and Go, without customizing the original algorithm using domain knowledge, it struggles
-
Impact of consumers' anticipated regret on brand owners’ blockchain adoption in the presence of a secondhand market Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-06 Zhimin Guan, Tianyang Yu, Jingyang Dong, Jun Zhang
Blockchain has been widely adopted in the field of product traceability owing to its powerful information tracing function. In this study, considering consumers' anticipated regret (e.g., high-price regret and misfit regret), we investigate a brand owner's (BO's) blockchain adoption strategy under competition between new and secondhand products. Moreover, we identify the and of blockchain adoption
-
Developing a data breach protection capability framework in retailing Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-04 Mohammad Rajib Uddin, Shahriar Akter, Thomas Lee
Protecting data in retail operations is vital in the age of data-driven digital transformation. Businesses face a constant challenge from data breaches due to the unpredictable and dynamic nature of the threats. Although studies in the context of data breaches are gaining momentum, a unified approach to data breach prevention and responsive strategies are required to address the challenge. Drawing
-
Blockchain technology and supply chain performance: The role of trust and relational capabilities Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-03 Sirsha Pattanayak, M. Ramkumar, Mohit Goswami, Nripendra P. Rana
Blockchain technology (BCT) has become a focal point of attention within the field of supply chain management (SCM), characterized as a transformative and disruptive technology capable of instilling transparency and trust. While parallels between BCT and the internet have been drawn, its practical application in SCM remains in an early stage, resulting in a limited body of literature and a pronounced
-
Using inverse DEA and machine learning algorithms to evaluate and predict suppliers’ performance in the apple supply chain Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-03 Sheng-Wei Lin, Wen-Min Lu
In an era where sustainability is paramount, this study presents a novel analytical framework that uses inverse data envelopment analysis (IDEA) and machine learning to optimize supplier performance in Apple's supply chain. We introduce the application of IDEA to recalibrate operational benchmarks, focusing on substantial CO2 reduction, and couple this with advanced predictive algorithms to proactively
-
Workforce and task optimization to guarantee oxygen bottling under a COVID-19 pandemic scenario: A Chilean case study Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-02 Gonzalo Severino, José Rivera, Roberto Parot, Ernesto Otaegui, Andrés Fuentes, Pedro Reszka
This work describes an optimization model to analyze the response of a Chilean oxygen-bottling plant to disruptions induced by large external events such as the COVID-19 pandemic. The model addresses employee shift scheduling, machine scheduling with setup times, production scheduling and inventory management, thus being non-linear, although resolved in reasonable computation times. The workers are
-
Cooperation in spare parts systems with penalty cost per unit backlogged Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-02 Ulaş Özen
Inventory pooling is well known to reduce inventory costs and improve customer service. Although potential benefits are well understood, one important prerequisite to form a stable coalition between independent companies, who like to cooperate to benefit from inventory pooling, is agreeing on a cost allocation such that no group of companies would better off leaving the coalition. Existence of such
-
Supply chain management under cap-and-trade regulation: A literature review and research opportunities Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-03-02 Song Xu, Kannan Govindan, Wanru Wang, Wenting Yang
Cap-and-trade regulation is an effective and flexible measure to migrate climate changes in supply chain management. As a result, supply chain management under cap-and-trade regulation (SCM-CAT) has been attracting an increasing amount of attention from both academics and industry. This paper presents a comprehensive and systemic literature review about the field of SCM-CAT based on bibliometric analysis
-
On the interdependence of strategic inventories and new product generation introduction Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-28 Subrata Saha, Benny Mantin, Sani Majumder, Izabela Nielsen
The seminal study by Anand et al. (2008) demonstrates that retailers have an incentive to strategically stock inventories as bargaining chips against upstream manufacturers. To counteract the impact of such strategic inventories, the manufacturer may wish to adjust or introduce products of different qualities in the second period. Shall he then upgrade or downgrade the product’s quality? In our model
-
Bargaining in mobile app supply chain considering members’ fairness concern attitudes Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-27 Lulu Xia, Kai Li, Hong Fu
The fast-developing mobile app industry has brought challenges to service pricing and profit allocation problems. This study constructs a four-stage game model consisting of a brand mobile app supplier as well as a distributor and takes members’ distributional fairness concern into consideration. We analyze the equilibrium revenue retaining ratio bargaining result, service price as well as the investigation
-
-
Data-driven digital transformation for supply chain carbon neutrality: Insights from cross-sector supply chain Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-20 Amine Belhadi, Mani Venkatesh, Sachin Kamble, Mohammad Zoynul Abedin
Following the growing pressure on firms and supply chains regarding their environmental impact, carbon neutrality of supply chains is gaining substantial attention among scholars and practitioners. Data-driven digital transformation supports supply chains in achieving higher carbon reduction while improving efficiency and economic performance. However, the conditions under which data-driven digital
-
Order sequencing for a bucket brigade seru in a mass customization environment Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-17 Dongni Li, Yao Lyu, Jinhui Zhang, Zihua Cui, Yong Yin
In a mass customization environment, customer demands may change dramatically, which challenges conventional production systems. production system (SPS) is a key to deal with changing varieties and fluctuated volumes. A bucket brigade is a divisional , in which partially cross-trained workers are organized as a bucket brigade. This paper studies an order sequencing problem for a bucket brigade with
-
Never too late to learn: Unlocking the potential of aging workforce in manufacturing and service industries Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-17 Thilini Ranasinghe, Eric H. Grosse, Christoph H. Glock, Mohamad Y. Jaber
This study systematically reviews 51 articles from Scopus and Web of Science databases to investigate the learning of aging workers in the manufacturing and service industries. It focuses on three key research questions: factors influencing learning among aging workers, effective learning approaches for this demographic, and strategies for enhancing their learning outcomes. The factors influencing
-
Cost subsidy or environmental regulation? The effects of government interventions on environmental quality and 3BL performance Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-16 Wei Jin, Jun Yang, Chengfu Wang
Green product development and innovation play a crucial role in addressing environmental issues. Governments often promote innovation by motivating manufacturers to enhance their products' environmental qualities (i.e., greenness, energy efficiency, recyclability). This paper investigates the implications of cost subsidy and environmental regulation for manufacturers’ pricing and environmental quality
-
Analysis of the enablers to deal with the ripple effect in food grain supply chains under disruption: Implications for food security and sustainability Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-16 Md Fahim Bin Alam, Saifur Rahman Tushar, Tazim Ahmed, Chitra Lekha Karmaker, A.B.M. Mainul Bari, Diego Augusto de Jesus Pacheco, Anand Nayyar, Abu Reza Md Towfiqul Islam
Because of the massive globalization process, market volatility, and today's ever-changing business environment, managing grain supply chains (GSCs) is becoming increasingly challenging. In addition, the ongoing Russia–Ukraine conflict is causing significant disruptions in global supply chains, adding to the challenges imposed by the COVID-19 pandemic in the last couple of years. The ongoing socio-economic
-
The interplay of lean practices and digitalization on organizational learning systems and operational performance Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-15 Vijaya Sunder M, Anupama Prashar
This research is based on the thesis that organizational processes (via lean practices), technology (via digitalization), and people (via learning) constitute a managerial framework essential for operational performance. It aims to theorize and test the independent and interconnected effects of lean practices and digitalization on operational performance via organizational learning. The researchers
-
Risk management through financial hedging in inventory systems with stochastic price processes Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-14 Caner Canyakmaz, Süleyman Özekici, Fikri Karaesmen
We consider the financial hedging problem of a firm whose operational cash flow from its inventory operation is affected by both price and demand uncertainties. We assume that selling prices and demand arrival process are governed by an exogenous continuous stochastic price process which is assumed to be correlated with prices of various products in financial markets. During the selling horizon, the
-
Maximizing the survival probability in a cash flow inventory problem with a joint service level constraint Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-13 Zhen Chen, Thomas W. Archibald
This paper investigates a multi-period stochastic cash flow inventory problem with the aim of maximizing the long-term survival probability, which may be the objective of some retailers especially in periods of economic distress. Demand in each period is stochastic and can be non-stationary. In order to avoid too many lost sales under this objective, we introduce a joint chance constraint requiring
-
Unleashing the power of AI in manufacturing: Enhancing resilience and performance through cognitive insights, process automation, and cognitive engagement Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-11 Yubing Yu, Jiawei Xu, Justin Z. Zhang, Yulong (David) Liu, Muhammad Mustafa Kamal, Yanhong Cao
The empowerment of Artificial Intelligence (AI) in manufacturing has drawn considerable attention, yet a holistic understanding of AI's effects on manufacturers' resilience and performance remains elusive. Our research leverages organizational information processing theory to explore the impact of three AI types – cognitive insights, process automation, and cognitive engagement – on manufacturers'
-
Mitigating closed-loop supply chain risk through assessment of production cost, disruption cost, and reliability Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-10 Runliang Dou, Xin Liu, Yanchao Hou, Yixin Wei
Modern supply chains are affected by high disruption risks owing to their production complexity and globalization characteristics. In addressing supply chain disruption risks, we observed mutual conflict among reliability, disruption costs, and production costs. Therefore, the relationship among production costs, disruption costs, and reliability must be balanced to accommodate supply chain disruptions
-
Structural resilience evolution and vulnerability assessment of semiconductor materials supply network in the global semiconductor industry Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-08 Yu Yu, Daipeng Ma, Yong Wang
In the context of the complex global supply chain situation, which faces significant challenges for the sustainable development of the semiconductor industry, such as energy and resource consumption, addressing risks and resilience issues, and sustainable resource management, etc. Therefore, this paper constructs a directed weighted supply network of semiconductor materials (gallium, germanium, and
-
To divide or not to divide: Impact of carbon market connections on firms’ resilient profitability and emission reduction. Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-05 Baozhuang Niu, Haotao Xu, Zihao Mu
The lack of harmonized carbon regulations across regions poses a significant obstacle to achieving effective carbon emission reduction, thereby underscoring the necessity for interregional carbon market connections. By employing a game-theoretical optimization model, this study examines the impact of independent and connected carbon regulations on the performance of a multinational firm (MNF) operating
-
Group buying in multiple channels with consideration of heterogeneous customers Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-03 Yeu-Shiang Huang, Jyh-Wen Ho, Chang-Lin Lee
Group buying can create high demand for firms in a short period by offering significant price discounts to attract more consumers who are unfamiliar with the items and enhance their willingness to make purchases. However, group buying may negatively affect sales profits; thus, firms must consider the pros and cons of participating in a third-party group-buying platform. This study considers a firm
-
CONWIP control in the digitized world: The case of the cyber-physical jobshop Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-02-02 Abhijit Gosavi, Aparna A. Gosavi
A digital transformation is occurring in the operations of systems. This has been enabled by digital technologies developed under the umbrella of Internet of Things (IoT) and cyber-physical systems (CPSs) that operations of systems, allowing functioning with changing data. However, many production systems that were hitherto used to significant human intervention and offline computations are struggling
-
Risk preferences, newsvendor orders and supply chain coordination using the Mean-CVaR model Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-30 Werner Jammernegg, Peter Kischka, Lena Silbermayr
The standard newsvendor model assumes that decision-makers in the supply chain are risk-neutral. This paper explores the newsvendor problem using risk measures building on the classical normative definition of risk preferences by certainty equivalents to model risk-averse, risk-neutral, and risk-taking decision-makers. We suggest the Mean-CVaR model based on the popular risk measures Value-at-Risk
-
Sustaining commitment in preferred buyer-supplier relationships: How to retain the ‘customer of choice’ status? Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-30 Andrea S. Patrucco, Tobias Schoenherr, Antonella Moretto
Securing commitment and preferential treatment from suppliers is crucial for buying firms in a competitive marketplace. This study delves into the dynamics of how buying firms, which have already earned preferential treatment and thus already had been recognized as preferred customers or ‘customers of choice,’ can supplier commitment and preserve this coveted status in a competitive market. Anchoring
-
The impact of advertising and product quality on sales mode choice in the presence of private label Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-26 M. Hemmati, S.M.T. Fatemi Ghomi, Mohsen S. Sajadieh
The choice of selling format is a critical challenge that e-tailers and manufacturers encounter. Furthermore, with the increasing prevalence of e-commerce, e-tailers have started creating their own private labels (PLs) and competing with national brands (NBs). This paper investigates the influence of the selling format on a supply chain involving an NB manufacturer and an e-tailer who introduces its
-
Alliances and digital transformation are crucial for benefiting from dynamic supply chain capabilities during times of crisis: A multi-method study Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-23 Rameshwar Dubey, David J. Bryde, Constantin Blome, Yogesh K. Dwivedi, Stephen J. Childe, Cyril Foropon
During times of crisis, businesses need strategic partnerships and digital transformation to survive. Understanding how digital transformation and alliance management capability can work together to enhance supply chain capabilities during a crisis is important. We have developed a theoretical framework that explains how the alliance management capability, under the mediating influence of digital transformation
-
Multi-regional collaborative mechanisms in emergency resource reserve and pre-dispatch design Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-26 Jiehui Jiang, Jie Ma, Xiaojing Chen
This paper studies collaborative mechanisms in multi-regional emergency resource reserve and pre-dispatch design in the context of emerging pandemics. First, by depicting the features of the epidemic spreading in transportation networks, this work organically embeds the pandemic spreading in the migration process of residents. A multi-regional migration-pandemic diffusion model is established to predict
-
Compound effect of closing the loop and servitization in supply chains Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-24 Mehmet Alegoz, Özgen Karaer
Companies generally strive to become more sustainable by changing their business models or their supply chain structures. In this study, we evaluate the two aspects together; i.e., the compound effect of adopting servitization as a business model and closing the loop in a two-tier supply chain. To this end, we focus on four scenarios as (i) selling and (ii) servitization in forward supply chains and
-
Envelopment strategies and contract design of two-sided platforms Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-22 Wen Xin, Jun Lin, Xiaoyang Zhou, Shan Yin
Platform envelopment, which describes the embedding of one platform into another platform, is widely adopted by platforms with network effects. The strategic use of platform envelopment is determined by the tradeoff between the benefits of sharing existing users and inconvenience of using the embedded platform. This study investigates when the pure envelopment strategy (PES), mixed envelopment strategy
-
Joint optimization of flexible job shop scheduling and preventive maintenance under high-frequency production switching Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-23 Yu Wang, Tangbin Xia, Yuhui Xu, Yutong Ding, Meimei Zheng, Ershun Pan, Lifeng Xi
To secure a larger market share in the dynamically evolving personalized market demand, enterprises have to adopt a more flexible production mode. In this context, the implementation of parallel production with multiple product types necessitates frequent switching between different products, imposing elevated requirements on machine fault-free operation and stable production. There is a compelling
-
Supplier development strategy considering technical uncertainty Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-23 Huaige Zhang, Meiling Zhou, Yuqing Xia, Pin Zhou, Xianpei Hong
Previous literature on supplier development was mostly based on the assumption that investments are bound to succeed, with little consideration given to the impact of technological uncertainty on supplier development strategies. We examine a supply chain structure consisting of two suppliers (Suppliers 1 and 2) and one manufacturer, considering the technical uncertainty when the manufacturer implements
-
Sustainable supply chains – Managing environmental impact data on product platforms Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-20 Petri Helo, Bening Mayanti, Ronal Bejarano, Christian Sundman
This paper addresses the importance of sustainable supply chains driven by environmental concerns in various industries. Life cycle assessment (LCA) presents a crucial tool for evaluating environmental impacts, but its case-by-case approach is costly and time-consuming. We present a product platform level solution to capture key supply chain elements and calculate emissions for each product variant
-
Perspectives on production economics Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-19 Fabio Sgarbossa, Lujie Chen, Krisztina Demeter, Margaretha Gansterer
Production economics is an interdisciplinary scientific field where research focus on the interface between engineering and management. The International Journal of Production Economics is the flagship journal for this research field, while the International Working Seminar on Production Economics has always been an opportunity for researchers in the field of production economics to present the results
-
Deterministic and probabilistic service-hailing mode choice for on-demand service platforms Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-13 Li Wang, Jiahang Yuan, Li Hu, Shaofu Du
To cater to the diverse needs of consumers, on-demand service platforms often provide vertically differentiated services and allow consumers to choose their preferred service class. In the traditional service-hailing mode, consumers choose from vertically differentiated services in a deterministic way. However, an emerging service mode bundles options to allow consumers to choose multiple classes of
-
-
Optimal pricing and financing strategies for leased equipment considering maintenance and lessees’ options Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-17 Yanping Liu, Biyu Liu, Haidong Yang
Periodic payment for leased equipment may lead to capital constraint for lessors. In view of preventive maintenance (PM) strategy and lessees' options, the impact of different financing modes on lessor's pricing decision-making for leased equipment is studied. By considering the impact of age and usage on PM strategy and lessees' revenue, and lessees-different options to return, renew or purchase leased
-
A deep Q-learning approach to optimize ordering and dynamic pricing decisions in the presence of strategic customers Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-12 Parisa Famil Alamdar, Abbas Seifi
-
Redesigning product line for integrated manufacturer-supplier ecosystem in a centralized supply chain: Case of an industrial consumer product Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-12 Mohit Goswami, Gopal Kumar, Nachiappan Subramanian, Yash Daultani, M. Ramkumar
To produce quality products rapidly to derive competitive advantage, the original equipment manufacturer (OEM) must work closely with its suppliers in product redesign processes. Previous literature has emphasized that quality products can be produced effectively and will provide better customer service if product redesign is performed considering the broad OEM-supplier(s) ecosystem. To this end, we
-
Creating value from additive manufacturing: An analysis of entrepreneurial firms along the value chain Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-11 J. Jakob Heinen, Kai Hoberg, Tim Schlaich
Many new ventures position themselves along the additive manufacturing (AM) value chain to benefit from the quickly maturing technology. Yet, their business models and sources of value creation are largely unidentified. We compile a unique dataset with 160 entrepreneurial AM-firms using a leading crowd-sourced database and organize the data in a card file system. We code the data along multiple dimensions
-
Aggregate production planning and energy supply management in steel industry with an onsite energy generation system: A multi-objective robust optimization model Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-10 Amin Karimi-Zare, Hamed Shakouri G., Aliyeh Kazemi, Eun-Seok Kim
This paper introduces an optimization model developed for the steel industry, the most energy-intensive industrial sector in many countries. New methodologies for both aggregate production planning and energy supply management are developed to maximize profit while minimizing energy consumption and greenhouse gas (GHG) emissions. Moreover, uncertainties are considered, and robustly optimized strategies
-
Balance between profit and fairness: Regulation of online food delivery (OFD) platforms Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-10 Xu Ji, Xuerong Li, Shouyang Wang
The rapidly developing online food delivery business is a novel “ecosystem” involving digital platforms, restaurants, delivery-workers, and customers. Continuous expansion of its market size is accompanied by problems of economic fairness such as “wage distribution” and “revenue sharing”. This study proposes an overall modeling framework to examine how regulators could best achieve optimal regulatory
-
A valorization framework to strategically manage data for creating competitive value Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-09 Claudio Bonvino, Marco Giorgino
Today's big challenge is to use data for informed decisions making. Despite the multitude of data definitions, managers should manage this digital resource strategically to create a competitive value. Previous studies accounted for data technically, either as technology, analytical process, or information system advancement, opening new avenues for management studies on data valorization in multiple
-
Evaluating the impact of items and cooperation in inventory models with exemptable ordering costs Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-09 M.G. Fiestras-Janeiro, I. García-Jurado, A. Meca, M.A. Mosquera
In this paper we introduce and analyse, from a game theoretical perspective, several multi-agent or multi-item continuous review inventory models in which the buyers are exempted from ordering costs if the price of their orders is greater than or equal to a certain amount. For all models we obtain the optimal ordering policy. We first analyse a simple model with one firm and one item. Then, we study
-
Fourth-party logistics network design with demand surge: A greedy scenario-reduction and scenario-price based decomposition algorithm Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-03 Songchen Jiang, Min Huang, Yuxin Zhang, Xingwei Wang, Shu-Cherng Fang
The sharing economy has offered new viable approaches for firms to tackle demand surges. In this paper, we study a novel network design problem for the fourth-party logistics network (4PLN) to cope with unpredictable demand surges, in which temporary renting of logistics resources from a sharing market is available to supplement network capacity. A chance-constrained stochastic programming model is
-
Deep reinforcement learning for demand fulfillment in online retail Int. J. Prod. Econ. (IF 12.0) Pub Date : 2024-01-02 Yihua Wang, Stefan Minner
A distinctive feature of online retail is the flexibility to ship items to customers from different distribution centers (DCs). This creates interdependence between DCs and poses new challenges in demand fulfillment to decide from which DC to satisfy each customer demand. This paper addresses a demand fulfillment problem in a multi-DC online retail environment where demand and replenishment lead time
-
Strategic investment in electric vehicle charging service: Fast charging or battery swapping Int. J. Prod. Econ. (IF 12.0) Pub Date : 2023-12-27 Yudi Zhang, Xiaojun Wang, Bangdong Zhi
With the increasing adoption of electric vehicles (EVs), there is a growing need for public charging infrastructure. As a result, significant investments have been made in charging services, particularly, fast-charging (FC) and battery-swapping (BS) services. This paper examines the impact of technical and operational factors, as well as market conditions, on the pricing and profitability of each service
-
Big data and machine learning in cost estimation: An automotive case study Int. J. Prod. Econ. (IF 12.0) Pub Date : 2023-12-26 Dominik Hammann
This paper presents a case study on the applicability of machine learning and big data technology for product cost estimation, using data on the material cost of passenger cars. The study provides contributions to six research aspects. First, we show which machine learning algorithms are appropriate when dealing with product cost estimation for highly complex products with more than 2000 parts and
-
Commitment or rent-seeking? Government incentive policies for ESG reporting in sustainable e-commerce logistics Int. J. Prod. Econ. (IF 12.0) Pub Date : 2023-12-21 Mengdi Zhang, Qiao Shen, Zhiheng Zhao, Shuaian Wang, George Q. Huang
In the sphere of e-commerce logistics industry, the credibility of Environment, Social, and Governance (ESG) reports by e-commerce logistics service providers (ELSPs) is critical for accurately conveying sustainability initiatives with transparency. Nonetheless, the actions of ESG rating stakeholders can significantly affect the truthfulness and authenticity of these ESG reports. Therefore, it becomes
-
Optimal production and predictive maintenance decisions for deteriorated products under advance-cash-credit payments Int. J. Prod. Econ. (IF 12.0) Pub Date : 2023-12-23 Yu-Chung Tsao, Arin Pantisoontorn, Thuy-Linh Vu, Tsung-Hui Chen
In the 4th industrial revolution era, manufacturers tend to integrate predictive maintenance into production systems to maximize the lifespan of equipment and avoid costly disruptions. Using internet of things sensors and data analyses, predictive maintenance can significantly reduce the production downtime by detecting and predicting system problems before they become uncontrollable, resulting in
-
Information sharing strategy and channel selection with substitutable products Int. J. Prod. Econ. (IF 12.0) Pub Date : 2023-12-19 Kebing Chen, Jiawen Liu, Ziyue Huang, Shengbin Wang
In this paper, we develop a supply chain game model consisting of one supplier producing two substitutable products and one e-retailer, in which the e-retailer's demand information sharing strategy and the supplier's encroachment strategy for one of his products will be examined. We find that when demand is sizable, the supplier prefers to encroaching by opening a direct channel, and that the e-retailer
-
The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA Int. J. Prod. Econ. (IF 12.0) Pub Date : 2023-12-22 Samuel Fosso Wamba, Maciel M. Queiroz, Laura Trinchera
This study develops a model supported by the dynamic capability theory to analyze the role of artificial intelligence-enabled dynamic capability in environmental performance and the mediation of a data-driven culture. We collected data from supply chain managers in France and the USA. The data was analyzed and validated through classical structural equation modeling using the lavaan R package. The