Strategic Inventories Under Supply Chain Competition

2021 ◽  
Author(s):  
Xi Li ◽  
Yanzhi Li ◽  
Ying-Ju Chen
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Distribution Channel ◽  
Problem Definition ◽  
Supply Chain Competition ◽  
Managerial Implications ◽  
Holding Cost ◽  
Inventory Holding ◽  
Period Model

Problem definition: We consider the effects of strategic inventory (SI) in the presence of chain-to-chain competition in a two-period model. Academic/practical relevance: Established findings suggest that SI may alleviate double marginalization and improve the efficiency of a decentralized distribution channel. However, no studies consider the role of SI under chain-to-chain competition. Methodology: We build a two-period model consisting of two competing supply chains, each with an upstream manufacturer and an exclusive retailer. The retailers compete on either price or quantity. We characterize the firms’ strategies under the concept of perfect Bayesian equilibrium. We consider cases where contracts are either observable or unobservable across supply chains. Results: (1) SI still exists under chain-to-chain competition. Retailers may carry more inventory when the competition becomes fiercer, which further intensifies the supply chain competition. (2) Different from the existing findings, SI may backfire and hurt all firms. Interestingly, firms may benefit from a higher inventory holding cost. (3) Under supply chain competition, the prisoner’s dilemma can arise if competition intensity is intermediate; in other words, manufacturers are better off without strategic inventory, and yet they cannot help allowing strategic inventory, which is the unique equilibrium. Managerial implications: Despite its appeal among firms of a single supply chain, the role of SI is altered or even reversed by chain-to-chain competition. Conventional wisdom on SI should be applied with caution.

Supply Chain Thinking in Healthcare: Lessons and Outlooks

2020 ◽  
Author(s):  
Lidia Betcheva ◽  
Feryal Erhun ◽  
Houyuan Jiang
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Healthcare Delivery ◽  
Healthcare Services ◽  
Lessons Learned ◽  
Problem Definition ◽  
Healthcare Organizations ◽  
Chain Management ◽  
Managerial Implications

Problem definition: The lessons learned over decades of supply chain management provide an opportunity for stakeholders in complex systems, such as healthcare, to understand, evaluate, and improve their complicated and often inefficient ecosystems. Academic/practical relevance: The complexity in managing healthcare supply chains offers opportunities for important and impactful research avenues in key supply chain management areas such as coordination and integration (e.g., new care models), mass customization (e.g., the rise in precision medicine), and incentives (e.g., emerging reimbursement schemes), which might, in turn, provide insights relevant to traditional supply chains. We also put forward new perspectives for practice and possible research directions for the supply chain management community. Methodology: We provide a primer on supply chain thinking in healthcare, with a focus on healthcare delivery, by following a framework that is customer focused, systems based, and strategically orientated and that simultaneously considers clinical, operational, and financial dimensions. Our goal is to offer an understanding of how concepts and strategies in supply chain management can be applied and tailored to healthcare by considering the sector’s unique challenges and opportunities. Results: After identifying key healthcare stakeholders and their interactions, we discuss the main challenges facing healthcare services from a supply chain perspective and provide examples of how various supply chain strategies are being and can be used in healthcare. Managerial implications: By using supply chain thinking, healthcare organizations can decrease costs and improve the quality of care by uncovering, quantifying, and addressing inefficiencies.

scholarly journals The role of transportation in customized supply chains

1999 ◽  
Vol 11 (1) ◽  
pp. 50-64
Author(s):  
Remko I van Hoek
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Distribution Channel ◽  
Distribution Channels ◽  
International Transport ◽  
The Creation

This paper empirically explores the role of transportation in creating a customized supply chain using postponement. Based on a survey among manufacturers in three countries, it was found that a reconfiguration is needed for the creation of a customized supply chain. In this reconfiguration process, transportation considerations are extremely important, resulting in supply chains and distribution channels that are globalized and reliant on international transport. Postponement is increasingly applied in both manufacturing and distribution. Thus, through the facilitation of postponement and customization activities in the distribution channel, much business is to be gained for transportation and logistics companies.

scholarly journals Impacts of Counterfeiting on a Global Supply Chain

2020 ◽  
Author(s):  
Zelong Yi ◽  
Man Yu ◽  
Ki Ling Cheung
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Wholesale Price ◽  
Consumer Surplus ◽  
Global Supply Chain ◽  
Problem Definition ◽  
Network Externality ◽  
Global Supply Chains ◽  
Economic Implications ◽  
Managerial Implications

Problem definition: This paper investigates how counterfeits influence a global supply chain and how the supply chain should effectively take anticounterfeit actions. Academic/practical relevance: The impacts of counterfeiting have been increasingly profound on global supply chains. It is critical to understand how counterfeiting impacts supply chains when supply chain members act in their own interests, and how supply chains can effectively combat counterfeiting when all the members can contribute to it. This is the first paper that offers insights into these important questions. In particular, we examine who among the supply chain members is in the best position to perform counteracting activities, how these members can cooperate in anticounterfeiting, and what economic implications the anticounterfeit actions have to the supply chain, individual firms, consumer surplus, and social welfare. Methodology: We consider a supply chain consisting of a manufacturer and a retailer, and analyze a game-theoretical framework to derive the equilibrium. Results: The manufacturer prefers to induce the retailer to combat counterfeits rather than to combat itself. Contrary to conventional wisdom, counterfeits can increase the supply chain’s profit even in the absence of network externality effects. The crux is that the manufacturer lowers wholesale price to incentivize the retailer’s counteraction and, consequently, the threat of counterfeits can mitigate double marginalization and benefit the supply chain. Managerial implications: Our results demonstrate that a sustainability risk can trigger collaborative endeavors of supply chain members and thus be advantageous to the supply chain. The findings also underscore the important role that retailers should play in anticounterfeiting. Particularly, it can be in the supply chain’s interest that the manufacturer does not execute the counteraction, either jointly with the retailer or by itself.

The role of demand management in achieving supply chain agility

2014 ◽  
Vol 19 (5/6) ◽  
pp. 577-591 ◽  
Author(s):  
David M. Gligor
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Flexible Manufacturing ◽  
Demand Management ◽  
Comprehensive Review ◽  
Content Type ◽  
Turbulent Environments ◽  
Supply Chain Agility ◽  
Managerial Implications

Purpose – The purpose of this paper is to explore the role of demand management in achieving supply chain agility (SCA) through a multi-disciplinary review of the relevant research. The systematic literature review provides the basis for formulating a conceptual framework of the relationship. Design/methodology/approach – A systematic, comprehensive review of the literature on manufacturing, marketing organizational and SCA from 1991 through 2013 was conducted. The literature on demand management is also examined to identify the various elements that contribute to SCA. Findings – Most agility frameworks take a supply-side perspective and assume that demand is known. Those that do acknowledge the role of demand fall short of offering a holistic framework that acknowledges the role of both. This paper suggests that it is simply not enough to have flexible manufacturing, distribution and procurement systems to achieve SCA. Flexibility in managing demand is also needed. Furthermore, it is the premise of this paper that demand and supply integration (DSI) inside the firm is critical to achieving SCA. Research limitations/implications – This research is a systematic, integrative review of the existing literature on the concept of agility. As such, the next phase of research needed for theory building will be the operationalization of constructs and testing of the hypothesized relationships proposed by the conceptual framework. Practical implications – The paper has several managerial implications as well. It illustrates how firms can create and sustain competitive advantages in turbulent environments. Managers can use the framework developed here to assess what structures and decision-making processes they can use to increase the firm’s SCA. Practitioners can use this model as a checklist to identify candidate areas for improving agility. The section illustrating the use of knowledge management to increase DSI should be of particular interest to managers, considering that a great deal of firms experience a disconnect between demand creation and supply fulfillment. Originality/value – Through a systematic, comprehensive review of multi-disciplinary literature, the paper explores the role of demand management in achieving SCA.

AI technologies and their impact on supply chain resilience during COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Information Processing ◽  
Supply Chains ◽  
Failure Modes ◽  
Stress Test ◽  
Weak Links ◽  
Content Type ◽  
Supply Chain Resilience

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.

scholarly journals The Role of Intent-Based Networking in ICT Supply Chains

2021 ◽  
Author(s):  
Mounir Bensalem
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Network Management ◽  
Network Systems ◽  
Supply Chain System ◽  
System P ◽  
Innovative Solutions ◽  
Heterogeneous Nature ◽  
General Architecture

The evolution towards Industry 4.0 is driving the need for innovative solutions in the area of network management, considering the complex, dynamic and heterogeneous nature of ICT supply chains. To this end, Intent-Based networking (IBN) which is already proven to evolve how network management is driven today, can be implemented as a solution to facilitate the management of large ICT supply chains. In this paper, we first present a comparison of the main architectural components of typical IBN systems and, then, we study the key engineering requirements when integrating IBN with ICT supply chain network systems while considering AI methods. We also propose a general architecture design that enables intent translation of ICT supply chain specifications into lower level policies, to finally show an example of how the access control is performed in a modeled ICT supply chain system.

scholarly journals Dynamic sourcing strategies for supply disruptions under consumer stockpiling

2021 ◽  
Author(s):  
Shanshan Li ◽  
Yong He ◽  
Li Zhou
Keyword(s):  
Order System ◽  
Joint Decision ◽  
Sourcing Strategies ◽  
Make To Order ◽  
Sourcing Strategy ◽  
Holding Cost ◽  
Future Consumption ◽  
Inventory Holding ◽  
Relative Factors

AbstractThis paper considers a make-to-order system where production gets disrupted due to a random supply failure. To avoid potential stock-out risk and responding price increase during disruption, customers might decide to stockpile extra units for future consumption. We investigate the contingent sourcing strategy for the manufacturer to cope with the disruption. To this end, we first discuss the optimal post-disruption stockpiling decision for customers. In view of expected disruption duration, price rise, and inventory holding cost, three types of stockpiling behavior are analytically provided for the customers: non-stockpiling, gradual stockpiling, and instantaneous stockpiling. Next, a model is formulated to optimize the joint decision of contingent sourcing time and quantity, with the objective of maximizing profit expectation. Finally, by conducting numerical analysis, we generate further insights into the role of relative factors and provide specific managerial suggestions on how to adapt dynamic contingent sourcing strategies to alleviate different disruptions, under different market environments and customer behaviors.

scholarly journals Assessment of behavioral factors influencing cooperation in logistics

2020 ◽  
Vol 18 (3) ◽  
pp. 34-44 ◽  
Author(s):  
Tetiana Kolodizieva
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Methodological Approach ◽  
Behavioral Approach ◽  
Dual Relationships ◽  
Behavioral Factors ◽  
Factors Influencing ◽  
The Social

The article explores theoretical and methodical aspects of managing dual relationships that arise between participants in logistic cooperation in the process of formation and functioning of supply chains. The use of a behavioral approach to defining supply chains has allowed identifying and justifying the priority role of behavioral factors that influence modern logistics entities and determine the effectiveness and long-term satisfaction with logistics cooperation. Given the literature summary, the study has classified types of cooperation in logistic activity and proved that among the behavioral factors influencing the of logistical cooperation efficiency, the trust is of particular importance, which remains a limitation, a bottleneck in the process of formation and development of dual relationships in logistics chains. It is proposed to introduce a generic indicator, namely the level of confidence in the supply chain to assess the social, economic and strategic aspects of logistics interaction. A methodological approach to assessing the level of trust in logistic cooperation was adjusted based on determining the composition of criteria that directly affect this indicator and using the expert survey of supply chain participants. The study proposes to use the confidence indicator to form and improve networks and supply chains, taking into account its value when constructing a generalized outsourcing model.

Product Flexibility Strategy Under Supply and Demand Risk

2021 ◽  
Author(s):  
Yimin Wang ◽  
Scott Webster
Keyword(s):  
Supply Chain ◽  
Supply And Demand ◽  
Problem Definition ◽  
Base Case ◽  
Supply Network ◽  
Aggregation Effect ◽  
Risk Aggregation ◽  
Managerial Implications ◽  
Product Flexibility ◽  
Global Uncertainty

Problem definition: With heightened global uncertainty, supply chain managers are under increasing pressure to craft strategies that accommodate both supply and demand risks. Although product flexibility is a well-understood strategy to accommodate risk, there is no clear guidance on the optimal flexibility configuration of a supply network that comprises both unreliable primary suppliers and reliable backup suppliers. Academic/practical relevance: Existing literature examines the value of flexibility with primary and backup suppliers independently. For a risk-neutral firm, research shows that (a) incorporating flexibility in a primary supplier by replacing two dedicated ones (in absence of backup supply) is always beneficial and that (b) adding flexibility to a reliable backup supplier (in absence of product flexibility in primary suppliers) is always valuable. It is unclear, however, how flexibility should be incorporated into a supply network with both unreliable primary suppliers and reliable backup suppliers. This research studies whether flexibility should be incorporated in a primary supplier, a backup supplier, or both. Methodology: We develop a normative model to analyze when flexibility benefits and when it hurts. Results: Compared with a base case of no flexibility, we prove that incorporating flexibility in either primary or backup suppliers is always beneficial. However, incorporating flexibility in both primary and backup suppliers can be counterproductive because the supply chain performance can decline with saturated flexibility, even if flexibility is costless. A key reason is that the risk-aggregation effect of consolidating flexibility in an unreliable supplier becomes more salient when flexibility is already embedded in a backup supplier. Managerial implications: This research refines the existing understanding of flexibility by illustrating that flexibility is not always beneficial. When there is a choice, a firm should prioritize incorporating flexibility in a reliable backup supplier.

IT-Based Classification for Supply Chain Coordination Mechanisms

2013 ◽  
pp. 148-162 ◽  
Author(s):  
Fereshteh Ghahremani ◽  
Mohammad Jafar Tarokh
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Supply Chains ◽  
Supply Chain Coordination ◽  
Coordination Mechanisms ◽  
Effective Solution ◽  
New Classification ◽  
Role Of It

Managing dependencies via coordination is an effective solution for the problems that arise from these interdependencies in supply chains. This can be practical via a set of methods called coordination mechanisms. Numerous coordination mechanisms have been discussed before in literature. This paper develops a new classification of these mechanisms on the basis of information technology (IT) impact on them. This classification proves the important role of IT in better coordinating supply chains and help managers distinguish between coordination mechanisms that are created and improved by information technology and thus lead them to have the best choice based on their infrastructures and organization type.

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