This study investigates the role of eco-control systems in translating the proactive environmental strategies (PES) of third party logistics providers (TPLs) into economic and environmental performances using variance-based structural equation modelling, popularly known as PLS-SEM. Analysis of survey data from 232 French TPLs indicate that improved performance depends on the type of TPL organizational

Family based dispatching rules reduce time spent on setups to improve system performance. However, they can lead to bulky arrivals at subsequent stages, causing additional delays. Few studies have considered this effect so far. Preemption, on the other hand, can enforce the deadlines of important jobs in real situations. This study deals with a new production control problem of family based dispatching

With growing concerns about pollutant emissions from manufacturing processes, market-based instruments with emission taxation have become increasingly popular by many governments to incentivize firms' emission reduction efforts. In some industries, however, the amount of pollutant emissions from manufacturers largely depends on the quality of the raw materials provided by their suppliers. In that case

Scavengers – actors who collect and redistribute waste into circular ecosystems to reuse or recycle it – may improve resource availability and sustainability in the firms' procurement business process. In Closed-Loop Supply Chains, their role is crucial to the business stability. Indeed, governments and the private sectors are encouraged to formalize them, that is, to institutionalize and regulate

Supply chain finance aims at finding the best financing arrangements within a given buyer-supplier dyad. The source of capital can be internal (buyer or supplier) or external (financial institution) to the supply chain. So far, many studies have investigated the optimal mix of the sources of capital; our study aims at contributing to the recent literature that explores the interface of operations and

Empirical testimonies indicate that product variety, as well as multimarket and multichannel strategies, can increase a company's sales and, thus, its market performance. However, practitioners and scholars also agree that when those actions are deployed in slow growing markets, the resulting proliferation of products, markets, and channels may erode profits. This is a phenomenon sometimes labelled

Supply chain management depends heavily on uncertain point forecasts of product sales. In order to deal with such uncertainty and optimize safety stock levels, methods that can estimate the right part of the sales distribution are required. Given the limited work that has been done in the field of probabilistic product sales forecasting, we propose and test some novel methods to estimate uncertainty

Imbalanced international trade and the limited number of containers in the maritime transportation industry have resulted in considerable costs and decreased profits for shipping firms. To manage these issues, this study utilizes price management techniques to control empty container repositioning in a transportation system. In this system, there is a firm providing transportation services between

We analyze a call center with robot and human agents. Customers arrive over time and have a preference for being served by an agent. Thus, although robots are infinite in number, it might be preferable to let some customers wait so as to give them a human service. The aim of this paper is to determine how agents and robots should be placed in the call center architecture to deliver the lowest wait-

The growing literature on supply chain disruptions has demonstrated how the detrimental consequences following their occurrence differ based on the scope of their severity. However, much less is known about the effects of disruptions due to the element of surprise experienced by firms. We draw on literature in operations management, systems engineering, and financial risk management to explain the

Technologies related to Industry 4.0 require Small and Medium Enterprises (SMEs) to understand their potential applications before they are adopted. In this paper, we test empirically a framework that links SME search strategies within their ecosystem (i.e., breadth of search vs. depth of search) to the capability of SMEs to recognise digital opportunities associated with Industry 4.0 (i.e., digital

Inefficiencies in the food supply chain account for up to 60% of food wasted in the United States, significantly inhibiting efforts to tackle food insecurity. In this work, this problem is addressed by developing a supply chain decision-making framework that explicitly considers complex biochemical product quality degradation processes as a function of environmental conditions (e.g., temperature, humidity

Due to the supply chain globalization, technology-oriented original equipment manufacturers are focusing on their core competencies by outsourcing the production to contract manufacturers. Many contract manufacturers also engage in remanufacturing and provide high quality remanufactured products in the market posing competition to the new products. This paper considers a supply chain with an original

Crowdsourced delivery is an emerging parcel delivery paradigm that leverages occasional couriers’ excess capacities to transport goods. In a crowdsourced delivery system, couriers offer their excess trip capacities to requesters with packages of different weights and distinct valuations for the service. This paper studies the truthful and efficient multi-attribute auction design for the crowdsourced

Blockchain cloud manufacturing is an emerging service-oriented paradigm that takes many advantages to cloud manufacturing. Previous researchers have studied from eradicating third party trust problem among service providers and customers by decentralized data record and involving smart contract. However, the existing paradigm still suffers from third party trust problem among service-related participants

Artificial intelligence (AI) applications are the core challenge for engineering and management science concepts in production and logistics within the next decade. This study analyses the application of AI instances in route planning as a central part of logistics management from an empirical case perspective for retail logistics in Germany. The methods applied encompass fuzzy data envelopment analysis

Hierarchical forecasting has been receiving increasing attention in the literature. The notion of coherency is central to this, which implies that the hierarchical time series follows some linear aggregation constraints. This notion, however, does not take several modelling uncertainties into account. We propose to redefine coherency as stochastic. This allows to accommodate overlooked uncertainties

Total Productive Maintenance (TPM), an important maintenance management approach grounded on lean principles, has found widespread applicability in the manufacturing sector since the 1950's. More recently, Industry 4.0 (I4.0) has promoted the digitalization of several functional areas bringing disruptive innovation to manufacturing environments. This paper aims at examining the integration of I4.0

Previous research presents mixed findings about the impact of environmental orientation (EO) on environmental performance (EP). Using the theoretical lens of resource orchestration theory (ROT) and contingency theory (CT), this study explores the relationships between EO, external environmental information exchange (EEIE) (with suppliers and customers), and EP. In particular, this study investigates

The emergence of social manufacturing has facilitated the evolution of resource organization in the manufacturing industry, with a trend towards a flat management structure. The mass absorption of socialized idle resources that lack a digitalized and intelligent basis has influenced the efficiency of collaborative production. The digital twin has been widely applied to promote cyber collaboration through

We investigate the impact of contract timing on a random yield supply chain consisting of a single buyer and multiple unreliable suppliers. In this supply chain, the buyer decides the order quantity and the suppliers decide the capacity levels which depend on the random yield rates. According to the sequence of these two decisions, we consider two contracts. If the buyer places the order prior to the

Along with the flourishing development of digital technology, blockchain technology emerged and has been developed for a broad spectrum of applications. As an emerging digital technology, blockchain provides firms with new ways of creating and capturing value, new information exchange mechanisms and trading systems, as well as new organizational forms. In recent years, Some studies have noted that

In this paper, we examine a manufacturer's choice of outsourcing contractor, either a competing contractor or a non-competing contractor. Both the manufacturer and the competing contractor (which also produces a product in its own brand) face customer returns. We find that the manufacturer's optimal outsourcing strategy depends strongly on two factors: the efficiency of production and sale of its brand

While it is recognised that there are varying uncertainty characteristics between industry sectors, there is little uncertainty research directly related to engineer-to-order (ETO) systems. A novel method is developed to identify the factors contributing to uncertainty in shipbuilding first-tier suppliers that inhibit the effective and efficient delivery of ETO products. The empirical data set comes

Previous studies on the impact of customer concentration on firm-level outcomes mainly focus on financial and operational variables, and the influence of a concentrated customer base remains controversial. As one of the important issues of responsible and sustainable operations management, corporate social responsibility (CSR) has garnered increasing attention of scholars in recent years. However,

Despite the popularity of reverse logistics in literature, the effect of different collaboration types on the likelihood to introduce reverse logistics innovation has been under-investigated. Hence, this article explores the impact of domestic collaboration with competitors, customers, suppliers, research institutions, and the breadth of collaboration on a firm's reverse logistics innovation. Four

Willingness-to-cede (WTC) profit behaviours for the purpose of effective cooperation have increasingly emerged as a best practice in competitive supply chain environments; however, this has been complicated by sustainability issues. Inspired by this fact, we study normative prescriptions and models that can be used to coordinate sustainable supply chains considering supply chain leaders' WTC behaviour

We study manufacturer encroachment in a supply chain in which there is partial substitution between the retailer's store brand and the manufacturer's national brand. Manufacturer encroachment and the store brand's substitution effect lead to several implications for the manufacturer and the retailer. We use a game-theoretic model to analyze the optimal decisions of the manufacturer and the retailer

This paper analyzes the value of different sources of installed base information for spare part demand forecasting and inventory control. The installed base is defined as the set of products (or machines) in use where the part is installed. Information on the number of products still in use, the age of the products, the age of their parts, as well as the part reliability may indicate when a part will

With institutional pressures from various stakeholders concerned with climate change and efficient energy use in firms' operations, it has formed the belief that energy efficiency is crucial part for sustainable operations and firm competitiveness. While an increasing number of firms have adopted energy-efficient systems (EES), a limited understanding of the actual impact of EES adoption on financial

Managers across the supply chain are expected to meet customers’ ever-changing needs (exploration of new opportunities) by employing innovative approaches, while operations people are inclined towards enhancing efficiency and productivity (exploitation of current practices). However, little is known about how firms manage this paradoxical tension in meeting the conflicting objectives of operations

Circular Economy (CE) aims to retain the maximum value of products and materials for a longer time in a closed-loop manner, thereby decoupling natural resource usage from economic growth. Food waste reduction is one of the top priorities under the recent European Union's CE Package. It also contributes to achieving the United Nations' Sustainable Development Goals (SDG 12.3). While food loss and waste

We consider a two-echelon supply chain network where the downstream retailers procure products from the upstream unreliable suppliers to sell in the end market. In the decentralized setting, the suppliers consider whether to enter the market and simultaneously set their wholesale prices if they enter, and then the retailers make ordering decisions and engage in quantity-based Cournot competition in

The introduction of a new product into an operating factory can have significant adverse impacts on the throughput and cycle time of all products produced in the factory, and thus needs to be managed carefully. In previous work we proposed a production planning model for new product introductions that captures the impact of additional variability caused by the new product and of learning as experience

The regulation of the Waste Electrical and Electronic Equipment (WEEE) industry is of priority importance in the EU environmental and circular economy agenda. In this context, single Member States have to implement effective policies to increase the amount of collected waste and close materials flows. To this end, the design of adequate collection infrastructures and the geographical proximity to dedicated

Today, most organizations are undergoing a digital transformation. At the same time, the gravity of environmental issues has put sustainability and the circular economy at the top of corporate agendas. To this end, information systems, in particular business analytics, are being highlighted as essential enablers of an accelerated circular economy transition. However, effectively managing this joint

Few studies have examined shipbuilding production processes from a lean scheduling perspective, a production scheduling approach where the primary focus is on minimizing key sources of production waste while ensuring production continuity and on-time delivery. Specifically, this research develops a lean scheduling approach and analytical model for shipbuilding production processes that minimize two

We investigate the dynamics of a closed-loop make-to-stock supply chain consisting of a remanufacturer and a manufacturer with a first-order vector auto-regressive demand and return process. Remanufactured products, considered as-good-as-new, partially satisfy market demand; newly manufactured products fill the remainder. The manufacturer and the remanufacturer cooperate to minimize the sum of the

Early lifecycle demand forecast is critical to consumer technology products with a fast innovation speed, as firms which compete on these products focus on timely responding to market changes through new product development and efficient product diffusion, rather than sustaining product sales. The challenge for obtaining an accurate long-range forecast is that sales volumes at the early lifecycle stages

Green supply chain management encompasses every level of the supply chain. The core green supply chain management strategies include closed–loop manufacturing and reduction of carbon footprint. These strategies enable firms to improve their environmental profile and to comply with environmental regulations. This paper deals with a supply chain system integrating manufacturing, remanufacturing and repair

Managers often use financial metrics based on internal accounting data to gauge firm performance. In this paper, we analyze firm value and related levers of operational supply chain (SC) performance from a financial market perspective. This allows us to study the contributions of profitability (earns) and asset utilization (turns) as the two major drivers of firm value. For this purpose, we apply data

With the rise of online grocery adoption, customers are now placing more delivery and pickup orders. This mode of interaction allows the grocer to collect advance demand information, which has been shown to reduce inventory costs in non-perishables. For perishable items where spoilage is a major cost driver, the effects of advance ordering on a grocer's daily operation is not yet clear. To investigate

This paper addresses the tactical production planning problem of engineer-to-order companies. For this, we extend the resource-constrained project scheduling problem with flexible resource profiles (FRCPSP) to the multi-project case as well as flexible resource availability. We model the problem as a deterministic discrete-time mixed-integer program using step-variables. For each activity the start

Despite a growing body of research that has investigated the impacts of social effect on the amount pledged in crowdfunding, some questions remain unclear. How does herding behavior influence the performance in supplier innovation crowdfunding, and is such behavior rational? What are the primary mechanisms of herding behavior? Based on a panel data set from Kickstarter, we find that it is rational

Anticipating future clearance markdowns, customers can choose purchase timing to maximize their expected utility. Taking into account such strategic consumer behavior, this paper conducts an analytical research for the optimal design of the money-back guarantee (MBG). Our work found that the degree of strategic consumer behavior can have crucial effects on the optimization of MBG. Specifically, offering

In this paper, a multi-coalition fixed cost allocation (MCFCA) is considered. The problem is solved using epsilon equilibrium (also called ε-Nash equilibrium) concept and data envelopment analysis framework. The MCFCA epsilon equilibrium involves tradeoffs between satisfying objectives of cooperative coalitions and conflicts arising from inter-coalitions objectives. First, it is shown that a simple

We examine suppliers' stock price reaction to the disclosure of qualitative risk information from important customers. By leveraging recent advances in textual analysis, we quantify customers' qualitative information disclosure and use it to gauge the spontaneous stock price reaction of the supplier's stock. Using a sample of 2028 customer-supplier-firm observations in China, we find that, on average

The COVID-19 outbreak has demonstrated the diverse challenges that supply chains face to significant disruptions. Vaccine supply chains are no exception. Therefore, it is elemental that challenges to the COVID-19 vaccine supply chain (VSC) are identified and prioritized to pave the way out of this pandemic. This study combines the decision-making trial and evaluation laboratory (DEMATEL) method with

Recent sociological and psychological studies suggest that the power dynamics (coercive and reward power), relational conflict, and the quality of the status-affecting relationship between partners should be analyzed in conjunction. This study applies this notion to supply chain management and buyer-supplier relationships to assess the implications for supplier satisfaction in buyer-supplier relationships

The main motivation behind the improvement of manufacturing systems is that they are competing for a larger share and better image in the market. Many manufacturing systems, particularly those with repetitive products, utilize assembly lines for the final stage of their production systems. Most of the assembly lines still rely on human worker performance since higher flexibility can be attained with

Many organizations are confronted with the challenge of improving supply chain transparency not only to meet regulatory requirements, but also to optimize operations, guarantee the quality of outputs, and ensure the sustainability of processes. As this topic has garnered significant interest across a wide range of academic disciplines, there is a need to synthesize and categorize these diverse contributions

We investigate competitive interactions in the context of inventory management by examining how the leader firm's past inventory management affects the challenger firm's current inventory management and how the challenger firm's past inventory management affects the leader firm's current inventory management. The leader and the challenger firms in an industry are respectively the firms holding the

Economic efficiency assessments based on Data Envelopment Analysis are scarce compared to technical efficiency studies, even in for-profit firms. Some aspects justify this scarcity, such as the difficulty to estimate accurate prices, given their variability over time. In many situations, external benchmarking is hindered due to organizations' unique nature and the barriers to sharing information considered

Industry 4.0 connotes a new industrial revolution with the convergence between physical and digital spaces, which is revolutionizing the way that production operations are managed. The requirement of increased productivity, improved flexibility and resilience, and reduced cost in Industry 4.0 manufacturing calls for new paradigms that comply with the changing of production and operations management

It is generally accepted in the operations literature that a firm should strive to maximize its expected profit. However, in practice it is not uncommon for a firm to offer a bonus to managers for achieving some pre-established target profit, possibly yielding managerial actions that differ from the profit-maximizing approach (given a profit target, we assume managers will maximize the probability

When studying the vehicle routing problem, especially for on-time arrivals, the determination of travel time plays a decisive role in the optimization of logistics companies. Traffic Internet of Things (IoT) connects ubiquitous devices and collects data from various channels like traffic cameras, vehicle detectors, GPS, sensors, etc. that can be used to analyze real-time traffic status and eventually

Although both servitization and digitalization have been shown to contribute to a manufacturer's performance, how the two strategies interact in affecting firm performance has been largely under-investigated. By adopting the service-dominant logic, this study fills this gap in the literature by examining how two types of servitization—basic and advanced—interact with two types of digitalization—internal

In online outsourcing platforms where clients (buyers) can procure diverse services from freelancers (service providers), skill certification systems are usually offered for freelancers to signal their private service expertise. This study considers a multi-stage online outsourcing context where the freelancers may participate in skill certification before bidding for a client's service contract in

On most modern energy markets, electricity is traded in advance and a power producer has to commit to deliver a certain amount of electricity some time before the actual delivery. This is especially difficult for power producers with renewable energy sources that are stochastic (like wind and solar). Thus, short-term electricity storages like batteries are used to increase flexibility. By contrast

Sustainable aviation fuels (SAF) provide a viable option to decarbonise global aviation. Unlike conventional jet-fuel, SAFs can be produced in several production pathways making their selection a complex multi-criteria decision making (MCDM) problem with conflicting objectives. In this paper, we propose a multicriteria based framework for evaluating SAF production pathways, which is a sequential decision-making