Manufacturers usually deploy specific investments to their customers in order to foster cooperation between them. However, manufacturers that implement specific investments are likely to incur potential opportunism from their customers. In this way, manufacturers need to protect their specific investments and curb customer's opportunism. Based on transaction cost economics, this study develops a moderated

Over the years, supply chain reconfiguration decisions have been solely based on operational risk. Simplification strategies, such as horizontal mergers, and networking strategies, such as risk pooling, are conflicting paradigms that have been shown to improve financial performance of supply partners. The implication of this to disruption risk is not fully known, especially as it concerns information

The development of information technologies and e-commerce has allowed many companies to set up online platforms to sell their products in dual-channel supply chain (SC) networks. The double competition between new and remanufactured products within channels and across competing channels affects manufacturer and retailer pricing decisions. However, the current state of the literature shows a gap in

This study analyzes how relational governance facilitates the relationship benefits of performance information provided by both a supplier and a buyer. It also examines the effect of strategic supplier status on value creation supported by performance information in a buyer-supplier relationship. The empirical data was collected with a survey addressed to suppliers of large-scale industrial companies

In buyer-supplier settings, paradoxical (or dualistic) outcomes are often observed. In this paper, we seek to demystify why such puzzling phenomena occur and discourse how firms can better manage their supplier relationships. We argue that any set of dualistic outcomes is basically two manifestations of the same thing—what we refer to as a supplier's learned behavioral pattern. Depending on the buyer's

This study reports the results of a systematic literature review investigating paradoxes in supply chain management. This issue is important because supply chain practitioners frequently face paradoxes in industry with little direction provided in supply chain literature. Investigating the years 1997 through 2019, we identified 64 articles as the basis of our research containing a total of 68 unique

This paper takes the dynamic capability (DC) theory as a theoretical perspective to investigate empirically the role of the internal dimensional view of quality management (QM) relations (management and employee) in driving sustainability performance, specifically social, environmental and economic dimensions. Data was collected from 226 UK manufacturing firms, and the relationships were empirically

We develop a duopoly model to examine how online reviews influence the decisions of two competing online sellers who sell products of differentiated quality under different returns policies. We derive the competing sellers' optimal decisions on price and returns policy with and without online reviews, and we find that online reviews have greater impact on the high-quality seller than on the low-quality

Firms often aim to develop new products in an environmentally sustainable fashion, while at the same time ensuring profitability. While firms may aim to do so themselves through internal sustainable design practices, what has increasingly become prevalent is to leverage the expertise of suppliers in such endeavors. With this framing and by relying on the resource-based view and its extensions reflected

Less-than-truckload (LTL) freight transportation is a vital part of Canada’s economy, with revenues running into billions of dollars and a cascading impact on many other industries. LTL operators have to deal with large volumes of shipments and uncertainty in demand patterns. In an industry that already has low profit margins, it is therefore vitally important to make good quality routing decisions

Ventures of manufacturing multinationals into overseas markets are on the rise despite the recent rising protectionism. The optimal selection of international human resources is one of the critical success factors contributing to cross-border task performance and manufacturing efficiency. This paper addresses the expatriate selection problem by presenting an integrated two-stage optimization approach

The COVID-19 pandemic unveils unforeseen and unprecedented fragilities in supply chains (SC). A primary stressor of SCs and their subsequent shocks derives from disruption propagation (i.e., the ripple effect) through related networks. In this paper, we conceptualize current state and future research directions on the ripple effect for pandemic context. We scrutinize the existing OR (Operational Research)

We study a supply chain that consists of a buyer and two suppliers. The buyer faces stochastic demand and has two different supply sources for the same product: a slower regular supplier and a more expensive expedited supplier. Such dual sourcing inventory systems have been widely studied in the literature, evaluating what is best for the buyer. As the decisions of the buyer may adversely affect the

Considered is a retailer (she) facing non-stationary stochastic demand. Demand can be fully observed and backlogged, consequently the retailer can update the initial demand by a Bayesian approach. To alleviate the demand risk, the retailer may use a secondary opportunity to replenish through an option contract. In addition, the retailer also has access to immediate loan if she faces capital constraints

Short-term prediction of passenger volume is a complex but critical task to urban rail companies, which desire prediction methods with high accuracy, time efficiency and good practicality. Good prediction results of the outbound passenger volume at urban rail stations are important to the organization of passenger flow, and helpful to the arrangement of shuttles, especially in large transit junctions

Customer co-creation, the practice of involving the customer in a firm’s new product development, has received increasing attention. We develop a unique analytical model to study co-creation and examine the conditions under which co-creation is economically beneficial for both the customer and the firm. In our model, the customer and the firm determine (simultaneously or sequentially) their innovation

This paper examines pathways to implement a high-performing Lean Automation (LA). We asked 61 manufacturers from Brazil and India that are undergoing a lean implementation together with the adoption of disruptive digital technologies from Industry 4.0 (I4.0) to indicate their implementation sequence. We then used multivariate data techniques to analyze the collected data. Our findings suggested three

In recent years, the big data discriminatory pricing (BDDP) behavior of the service platform has recurrently appeared in the platform service supply chain, which is considered as a scandal that is irresponsible to the consumers. Therefore, how to effectively govern the service platform has become an important research topic. Based on this background, this study considers the strategies of the service

Product development is a critical part of all business operations. In fashion apparel, product development is a complicated process. In recent years, with the advance of technologies and the growing public awareness of environmental protection, product development processes (PDPs) in supply chains, including fashion supply chains, need to be environmentally sustainable. In this paper, we first identify

The new generation of bicycle-sharing is an O2O (online-to-offline) platform service that enables the users to access the bicycle with a smartphone App. This paper proposes a dynamic repositioning model with predicted demand, where the repositioning time interval is fixed. A data-driven Neural Network (NN) approach is introduced to forecast the bicycle-sharing demand. The repositioning objective function

We study base-stock control of a continuous review single-item inventory system with Poisson demand and lost sales. The item is supplied by an exogenous and sequential system with stochastic lead times (LTs) specified by their mean and standard deviation (SD). Define R as the square of mean/SD and define r as the smallest integer which is at least R. When R

As energy overuse and generated pollution have a potential threat to our environmental and ecological conditions, many researchers have taken the initiative way to join the green campaign to prevent more damage to the environment. This paper investigates the main contributions related to the green vehicle routing problem (Green-VRP) and presents a classification scheme based on its variants considered

In this paper we consider an on-demand service platform connecting self-scheduling service providers with heterogeneous and congestion-sensitive customers. Based on the congestion sensitivity, customers are classified into two types. Two pricing strategies are proposed for the platform to classify the customers. We develop a model that can capture customer heterogeneous with different congestion sensitivities

To meet consumer expectations for greener and better quality products and to ensure effective compliance with emissions regulations, firms have begun investing in improving the quality and greenness (low carbon level) of existing products. Emissions regulations currently restrict carbon emissions from product manufacturing rather than the emissions from the use of sold products. However, a large amount

We explore the optimal technology commercialization strategy of an inside innovator in the downstream of a two-tier supply chain when network effects exist via a game-theoretical framework. This setting incorporates in a unified model the two strategic incentives for the innovator to license to potential competitors for free, i.e., expanding the network size and driving down the wholesale price, thus

Public services such as healthcare may be offered by both free and toll service providers. Such a system, called a two-tier service system, is usually subject to congestion and often modeled as two parallel queues. Customers can choose one of three options: joining the free system, joining the toll system, or balking based on the congestion level in each service system and the toll price. This study

Reliable demand forecasts are critical for effective supply chain management. Several endogenous and exogenous variables can influence the dynamics of demand, and hence a single statistical model that only consists of historical sales data is often insufficient to produce accurate forecasts. In practice, the forecasts generated by baseline statistical models are often judgmentally adjusted by forecasters

This paper studies retailers' environmental sourcing strategies in supply chains by taking into consideration environmental quality investment and consumers' environment awareness. We attempt to identify the equilibrium sourcing strategies in two scenarios: with and without supplier competition, respectively. We find that environmental sourcing always arises, and the suppliers' incentives are also

In recent years, many apparel multinational firms (MNFs) have shifted their production from traditional manufacturing bases (e.g., China) to the emerging ones located in Southeast Asia (e.g., Vietnam and Bengal). The interactions among market sizes, MNF's competition with local rival and the global tax rules play key roles in the MNF's decisions. In this paper, we study the preferences of a MNF and

Perishability and developing a coordination mechanism for inventory systems with perishable items are the major concerns of marketing managers in a supply chain. In this study, we address a two-echelon supply chain problem for perishable items with a single vendor and a single buyer under the perishing cost and profit-sharing contract. The buyer adopts a time-based continuous-review control policy

Consumers have recently become very concerned about the role of return-freight insurance (RI) in the e-commerce platform, where it appears prior to making the online purchase decision. In an effort to encourage consumers to buy products, some e-tailers will offer complimentary return-freight insurance (CRI), and it has become an established and recognized practice. Some e-tailers have stopped offering

In this editorial piece, we first introduce the theme and objectives of the special issue on new technologies in operations and supply chains as well as their implications for sustainability. The papers comprising the special issue are then summarized, and major findings are briefly presented. Based on our observations on the submissions and the research gaps yet to be addressed, we attempt to offer

Recent advances in the industrial Internet of Things and smart data analytics have empowered companies to shift towards an open manufacturing paradigm to crowdsource and share manufacturing resources based on demand and capacities across the value chain. Reconfigurable process planning (RPP) reconstructs the optimal process planning for each batch according to different part batches based on commonality

This paper develops an empirical model to investigate the impact of macro-economic risk on working capital and the various types of inventory. Our analysis helps manufacturing firms anticipate the implications of high macro-economic risk, measured through the economic policy uncertainty (EPU) index, on their operations. Using a sample of 6503 US manufacturing firms during the period 1990–2018, we show

We consider a supply chain consisting of a supplier and a buyer whose efforts jointly influence carbon emissions per unit of the product. The product demand is affected by the effort levels. The carbon footprint is allocated to the supply chain members by a social planner, and they pay carbon penalties for their allocated emissions. We first examine the social first-best solution and then analyze a

Resilience enables supply chains to reduce their proneness to disruptions and recover faster. Many existing strategies to strengthen the resilience of supply chains are facilitated by the use of digital technology. Blockchain, as one of the promising innovative technologies, enables a transparent, secure, and timely data exchange and automation via smart contracts. In this paper, we discuss the impact

Industry 4.0 (I4.0) aims to link disruptive technologies to manufacturing systems, combining smart operations and supply chain management (OSCM). Maturity models (MMs) are valuable methodologies to assist manufacturing organizations to track the progress of their I4.0 initiatives and guide digitalization. However, there is a lack of empirical work on the development of I4.0 MMs with clear guidelines

This article presents a process for the design of innovative mechatronic products that integrates techniques of Design Thinking, Concurrent Engineering and Agilism to Intellectual Property Management activities. Design Thinking is employed in the early stages in order to better explore creativity, whereas Concurrent Engineering and Agilism are applied during the development of the product, in order

This paper addresses the closed loop supply chain (CLSC) network design problem for durable products with consideration of take-back legislation. Each returned end-of-life product can be dismantled into different components. A recovery option is adopted for each component based on its quality level, its economic value, and its environmental impact. First, a multi-product multi-period mixed integer

We discuss recent developments in exploring supply chain structural dynamics. We focus on both positive (i.e., new disruptive technologies) and negative (i.e., disruption risks) triggers of the structural dynamics in complex supply chain networks. We discuss papers in the special issue which focus on supply chain structural dynamics using different methods, collating and presenting recent research

This paper presents empirical evidence from a three-year case study of target costing as a cost-management method, applied to a portfolio of products based on a modular product strategy. A review of research directed at target costing shows that target costing customarily focuses mainly on the variable manufacturing costs of new products (e.g., material and labor costs) and typically neglects targets

Previous studies have shed light on the effects of the adoption of OHSAS (Occupational Health and Safety Assessment Series) 18,001 certification on performance. One important factor that has been neglected so far is the adoption timing. The question of whether early OHSAS 18001 adopters achieve better financial performance and operational performance than do late adopters (or vice versa) remains unanswered

Due to the growing public quest for environmental protection, small and medium-sized manufacturing enterprises (SMMEs) are under pressure to adopt eco-innovation to improve their operations. However, whether and how eco-innovation efforts can bring performance improvements may rely on the implementation level of eco-innovation and other traditional environmental management (TEM) practices. Drawing

A workload limit forms an essential part of most order release methods designed for high-variety make-to-order contexts, but this mechanism does not necessarily lead to the lowest possible direct load buffer. To counter this, the Superfluous Load Avoidance Release (SLAR) procedure was developed that avoided the use of a workload limit altogether. SLAR significantly improves performance compared to

In recent years, customized bus (CB) is becoming an innovative model of the public transport system (PTS) in China. This service provides an advanced, timely, personalized, and flexible responses to the demand of the PTS, especially of commuters. Obviously, it could have an impact on public transport (PT) service. For instance, CB services influence the customers' variety-seeking behavior, which results

Drawing upon three strategies of demand-driven supply chain intelligence, this study examines the effects of three factors of demand-driven supply chain intelligence, including customer knowledge management capability, knowledge sharing, and cooperation, on a JIT supply chain, which is operationalized by production planning, sourcing, and logistics. It also assesses the effect of a JIT supply chain

The volume and availability of data in the Intelligent Transportation System (ITS) result in the need for data-driven approaches. Big Data algorithms are applied to further enhance the intelligence of the applications in the transportation field. Applying Big Data algorithms has increasingly received attention in both the academic and industrial fields of ITS. Big Data algorithms in ITS have a wide

This paper empirically examines the effects of supply chain disruptions on firms' performance by applying a new quantitative measure of a disruption's impact that was adapted from the systems resilience literature. This new measure captures the total amount of loss suffered by a firm, and it supports comparing the relative performance of disrupted firms over time. To illustrate the value of the approach

Increased transportation costs and tense competition necessitate that carriers coordinate with the other members of the supply chain for realizing potential savings due to channel coordination. We address such coordination issues in an operational setting where a carrier is to ship the items within a two-echelon supply channel consisting of a supplier (e.g., manufacturer) and a buyer (e.g., retailer)

We examine machine scheduling problems that have been inspired by the production environment of semiconductor manufacturing. In semiconductor manufacturing a job processing machine is often enforced to go through a preventive maintenance operation with an objective of minimizing the wafer quality risk. In this research such periodic machine maintenance is considered for single machine and flow shop

Recent developments in modern cyber-physical systems (CPSs) have allowed greater levels of intelligence and flexibility. The high levels of interactions and interdependencies in CPSs, however, also increase their vulnerabilities to external attacks and internal malfunctions. Disruptions in one cluster of a CPS can propagate to another cluster, eventually compromising the entire CPS if protective mechanisms

The inland waterway transportation system provides one of the most economical and environmentally friendly means of transportation with significant contributions to the nation’s overall transportation economy. This study aims to develop a sound and realistic model, capturing diversified inland waterway transportation network-related properties and complex interactions between different transportation

Facing the upsurge of sharing economy, in order to regain market opportunities, traditional manufacturers have provided product sharing services through two sharing modes. One mode is the self-built mode, the manufacturer will build a sharing platform on which consumers' rental is relatively inconvenient. The other mode is the joined mode, the manufacturer will join a third-party sharing platform on

The smart manufacturing systems (SMS) offer several advantages compared to the traditional manufacturing systems and are increasingly being adopted by manufacturing organizations as a strategy to improve their performance. Developing an SMS is expensive and complicated, integrating together various technologies such as automation, data exchanges, cyber-physical systems (CPS), artificial intelligence

This paper aims to investigate the emerging trend of a new warranty policy in industries, namely, complimentary extended warranty. For the warranty with complimentary extended service, customers can enjoy a free extended warranty if they register online before expiration of the base warranty. At present, with frequent technological innovations, customers are more willing to replace the product instead

As a widely used inventory management technique, multiple criteria ABC analysis is an effective way to classify inventory items into prioritized classes. Various methods have been proposed to solve the problem of multiple criteria ABC analysis. However, the information provided by experts or experienced managers is typically taken without any doubt in existing research. Little attention has been paid

Cleaning of waste in a production system under a sustainable supply chain management (SSCM) is the main issue for many industries. For this reason, the combined effects of improved quality of products and controlling carbon emission are very essential for any sustainable supply chain management. Business managers control the production process in order to reduce total sustainable supply chain cost

Industry 4.0 foresees benefits to companies and is supported by technologies such as Cyber-Physical Systems (CPS), Internet of Things (IoT), Internet of Services (IoS), among others. CPS, one of Industry 4.0's key technologies, can be applied in many areas including health, mobility, production and logistics. The partial or total incorporation of CPS technologies into internal logistics equipment can

This paper proposes a supply chain game that is composed of two firms, one supplier and one retailer. The supplier sells goods to the retailer and sets the service strategy efforts. The retailer determines the optimal quantity to purchase and the selling price. The supply chain can be managed through either a traditional online platform or a blockchain. In the former, firms face business risks due