Purpose – This paper provides a robust and structured literature review on supply chain resilience (SCRES), the supply chain’s ability to be prepared for unexpected risk events, responding and recovering quickly to potential disruptions to return to its original situation or grow by moving to a new, more desirable state. The purpose of this paper is to analyze the extant research through focussed questions and provide an insightful framework with propositions to guide further publications and identify future research needs. Design/methodology/approach – The findings underlie a systematic literature review methodology requiring a robust method of literature analysis. The sand cone model is adopted to develop a comprehensive SCRES framework. Findings – The literature review reveals a strong need for an overarching SCRES definition and a clear terminology for its building elements. It indicates that most research has been qualitative and lacks in assessing and measuring SCRES performance. Originality/value –...

Research on the phenomenon of supply chain resilience

This survey paper starts with a critical analysis of various performance metrics for supply chain management (SCM), used by a specific manufacturing company. Then it summarizes how economic theory treats multiple performance metrics. Actually, the paper proposes to deal with multiple metrics in SCM via the balanced scorecard — which measures customers, internal processes, innovations, and finance. To forecast how the values of these metrics will change — once a supply chain is redesigned — simulation may be used. This paper distinguishes four simulation types for SCM: (i) spreadsheet simulation, (ii) system dynamics, (iii) discrete-event simulation, and (iv) business games. These simulation types may explain the bullwhip effect, predict fill rate values, and educate and train users. Validation of simulation models requires sensitivity analysis; a statistical methodology is proposed. The paper concludes with suggestions for a possible research agenda in SCM. A list with 50 references for further study is included.

Performance metrics in supply chain management

Purpose




The purpose of this paper is to analyse the concept of supply chain resilience (SCRES) within a concept mapping framework to seek conceptual clarity, with an emphasis on SCRES definitions, essential elements and managerial practices.




Design/methodology/approach




A systematic literature review was conducted of 103 peer-reviewed journal articles from the year 2000 to 2015, with the aim of answering a focus review question.




Findings




Through analysis and synthesis of the literature, the study revealed three major constructs used to define SCRES: phases of resilience, resilience strategies and the capabilities needed to be resilient. Emerging from the capabilities construct are five core SCRES capabilities: the ability to anticipate, to adapt, to respond, to recover and to learn. Also, given the need to consolidate the various constructs of SCRES, the study identified 13 essential elements and 84 managerial practices that support firms to achieve the five capabilities, which are then linked to SCRES strategies and phases to establish the connections that provide an integrated view of the concept.




Research limitations/implications




The explorative nature of this study and the role of the concept mapping framework, which does not empirically test the relationships in the model, are considered as limitations, to be addressed by the authors in future research.




Originality/value




The originality of this paper lies in the classification of different features of SCRES through a comprehensive concept mapping framework that establishes relationships and interactions between them. This study, therefore, lays a foundation for testing these connections in future empirical studies. The paper brings together fragmented literature from multiple studies to create a solid body of knowledge that addresses the need for conceptual clarity in SCRES literature.

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Analysing supply chain resilience: integrating the constructs in a concept mapping framework via a systematic literature review

The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience

Supply Chain Resilience: Definitions and quantitative modelling approaches – A literature review

In today's highly dynamic and competitive environment, companies are under the pressure to improve their supply chain strategy in order to be more responsive to customer demand. However, supply chains are susceptible to unanticipated events that make responsive supply chain management a challenging task. One such disruption event is a product stockout at the retailer. In this paper, we investigate retail stockouts through the development of an agent-based simulation model in order to develop a better understanding of the effect of different stockout lengths for different products (with different consumer response profiles to stockouts) on both the retailer and the manufacturer of the product. We consider the change of market share as a measure of resilience for both the manufacturer and the retailer to examine the impact of the stockout. Insights are developed for manufacturers and retailers in responding to the stockout disruption.

Supply Chain Risk Management: An Agent-Based Simulation to Study the Impact of Retail Stockouts

Supply networks are discrete event dynamic systems consisting of suppliers, manufacturers, distributors, and customers. It is a difficult and challenging task to model such a complex system. Recently, characterised as being capable of model parallelism and synchronisation, Petri nets (PNs) have attracted great attention for modelling and studying a supply network. Since each type of Petri net has its unique properties to model specific applications, this paper reviews and classifies Petri net applications for supply chain management (SCM). According to the decision problems facing SCM, we have the Petri net applications classified into three areas: competitive strategy, firm focused tactics, and operational efficiency. Categorising the Petri net applications will provide a guideline to industry practitioners and research academics to choose the appropriate Petri net for the problem. In addition, the paper attempts to offer future directions in applying the Petri net to SCM including: (1) modelling with un...

Petri-net based applications for supply chain management: an overview

Since supply chain networks are discrete event dynamic systems, Petri-net has been an effective tool for supply chain modeling. Current research on Petri-net based modeling focuses on supply chain design and integration, production planning, inventory control, logistics and distribution. This paper first gives an overview of recent research work in supply chain management involved in all the above areas based on Petri-net, and then proposes potential directions. These directions are (1) modeling with uncertainty elements, (2) modeling combined with case study, (3) extend the modeling methods, (4) modeling for 3D concurrent engineering, (5) combination of Petri nets and System Dynamics, and (6) coordination of material and information flow.

Petri-net based application for supply chain management: An overview

With a trend of supply chain integration (SCI) on the one hand and more use of logistics service providers (LSPs) on the other hand, supply chain service provider (SCSP) is emerging for higher degree of integration and optimization of the whole chain. In this paper, we first develop the concept of SCSP based on literature review, and then conduct a case study (EA Company, a successful SCSP in China) to illustrate the operations model of SCSP. The proposed operations model consists of six dimensions (1) horizontal and vertical integration; (2) non-asset-based; (3) charge mode; (4) information technology; (5) finance support; and (6) brand effect. These dimensions can differentiate SCSP from traditional LSPs.

A new operations model of logistics service providers: Evidence from EA Company

This study investigates optimal decisions in a low-carbon supply chain consisting of a manufacturer and a leading retailer considering the green investment and fairness preferences of member firms. Four Stackelberg game decision models are constructed, in which the manufacturer and the retailer engage in green investment separately when the manufacturer has and does not have fairness preferences. The impacts of fairness preferences and green investment on the optimal decision in the low-carbon supply chain are comparatively analysed. The results show that member firms engage in green investment regardless of the presence or absence of fairness preferences and that this behaviour increases the wholesale price, retail price, and market demand of low-carbon products as well as the profits of member firms and the supply chain. A more interesting finding is that the profit growth of member firms and the supply chain due to the manufacturer’s green manufacturing practices is more pronounced than that due to the retailer’s green marketing practices. When the retailer and the manufacturer engage in green investment, the manufacturer’s fairness preferences have different effects on the wholesale price, retail price, market demand, level of green marketing efforts, member enterprises and profits of the supply chain. Therefore, firms should consider the impact of green investment and fairness preferences when making pricing and performance decisions to achieve efficient operation of the whole supply chain and prevent double marginal effects. Finally, the above conclusions are verified through numerical simulation, providing a reference for the decision-making of member firms in a low-carbon supply chain.

https://ieeexplore.ieee.org/ielx7/6287639/6514899/09768817.pdf

Xiaoling Zhang

Papers

Supply Chain Risk Management: An Agent-Based Simulation to Study the Impact of Retail Stockouts

Petri-net based applications for supply chain management: an overview

Petri-net based application for supply chain management: An overview

A new operations model of logistics service providers: Evidence from EA Company

Sustainable Decision-making in a Low-Carbon Supply Chain: Fairness Preferences and Green Investment