A global supply chain framework

The relationship between supply chain competencies and performance has been somewhat elusive. The 21st Century Logistics framework, developed at Michigan State University is currently assessed as to its global relevance, particularly relating to performance. A sample of U.S. firms is compared to a sample of Australian and New Zealand firms to assess the robustness of the framework across different business environments as well as to better understand the supply chain competencies/performance relationship. Results suggest that the framework is reasonably robust across environments, although some improvements in future versions of the framework are suggested. Additionally, results confirm that supply chain competencies do lead to improved performance. Interestingly, supply chain competencies appear to be employed in different ways to create different performance advantages across the various business environments.     

Critical review of supply chain innovation research (1999–2016)

This paper aims to systematically review the supply chain innovation literature over the last 18 years. It examines the development and current state of supply chain innovation research in management and identifies research gaps. A literature review is conducted to identify and analyze publications in peer-reviewed academic journals that include contributions from different strands of management research. This paper analyzes the theoretical contributions of the supply chain innovation literature using Gregor's (2006) framework of theory classification. It also evaluates the levels of analysis of the literature using the structural view model proposed by Skinner, Han, and Chang (2006). This research identified and analyzed various topics related to the supply chain innovation construct and showed that supply chain innovations can be studied at multiple analytical levels. It also revealed that the field has largely relied on manufacturing firm-based samples and U.S. samples, limiting the generalizability of the findings. The identification and analysis of relevant articles highlighted the need to conceptualize the supply chain innovation construct and develop measurement scales to operationalize it. This literature review is the first to focus on supply chain innovations, summarizing the development of the last 18 years and providing fruitful opportunities for future research. The results presented can be applied to the decision-making process of managers regarding supply chain innovations.     

零售商主导的创新成本共担期权契约研究

本文在不确定市场环境中，考虑期权契约在零售商主导的单周期二级供应链成员间创新投入的协调，分别讨论在是否允许期权信用违约情形下，要实现供应链协调各决策主体的决策模型。研究发现单纯的期权契约难以实现供应商单方面创新投入行为，为此引入创新投入成本共担机制，对原契约加以修正则可以实现供应链协调。研究表明在创新成本共担下的期权契约机制可以满足零售商主导的供应链协调，能够提高供应商和零售商的期望收益，实现帕累托改进。     

The impact of information technology on supply chain capabilities and firm performance: A resource-based view

Organizations increasingly rely on information technology (IT) to improve the supply chain process. Yet, past evidence suggests that the investment in IT per se does not guarantee enhanced organizational performance. Drawing from the resource-based view, this study proposes that IT-enabled supply chain capabilities are firm-specific, and hard-to-copy across organizations. These capabilities can serve as a catalyst in transforming IT-related resources into higher value for a firm. Based on data collected from surveying supply chain and logistics managers in various industries, the present study sheds light on these issues. The findings provide a new perspective in evaluating IT investment in the supply chain process.     

Optimization of a vendor managed inventory supply chain with guaranteed stability and robustness

In this work we address the steady state optimization of a supply chain model that belongs to the class of vendor managed inventory, automatic pipeline, inventory and order based production control systems (VMI-APIOBPCS). The supply chain is optimized with the so-called normal vector method, which has specifically been developed for the economic optimization of uncertain dynamical systems with constraints on dynamics. We demonstrate that the normal vector method provides robust optimal points of operation for a number of scenarios. Since the method strictly distinguishes economic optimality, which is treated as the optimization objective, from dynamical requirements, which are incorporate by appropriate constraints, it provides a measure for the cost of stability and robustness as a desired side-effect.     

供应链可靠度管理中的模糊QFD应用

在供应链管理（SCM）中,人们更关注于寻找一种系统的方法,能够在计划阶段对可靠度进行评估。提出了一种模糊QFD模型,使其能够在供应链管理的过程中,传达用户需求与设计参数间的模糊关系;同时提出一套模糊的决策程序：模糊多准则决策．用来寻找一组CRT设计中可靠度需求性能的最优解。主要目的是找出合适的可靠性测试等级,以便使每一条供应链中模糊需求与产品生产参数之间的关系更加合理,以满足用户的需求。     

Analyzing supply chain robustness for OEMs from a life cycle perspective using life cycle simulation

Long-term relationships between original equipment manufacturers (OEMs) and stakeholders in their supply chain and end-of-life process can be designed, while considering uncertainty in future environmental legislation changes. This study proposes a method to analyze the capability of OEMs to reconfigure their supply chain and end-of-life operations to achieve performance targets, which are defined in terms of environmental impacts and life cycle costs. Using life cycle simulation (LCS), the physical deterioration and the functional obsolescence of individual products are considered as stochastic elements in the analysis. The analyzed reconfiguration capability provides the OEM with robustness against uncertainty from a life cycle perspective.     

Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruptions

This paper develops a coordination mechanism for a supply chain consisting of one manufacturer and n Cournot competing retailers when the production cost and demands are simultaneously disrupted. This differs from traditional supply chain coordination models under a static case and the case with only demand or cost disruption. The coordination mechanism with revenue sharing is considered, and the effects of production cost and demand disruptions on revenue sharing contract are discussed to investigate the optimal strategies of players with disruptions. The penalty cost is introduced explicitly to obtain the production deviation cost caused by the disruptions. In this study, it is obtained that the coordination contract considering the production deviation cost differs from that without disruption. Besides that, the disruptions may affect the order quantities, wholesale prices as well as revenue sharing contract. Then, the optimal strategies for different disruption levels under the centralized decision-making mode are proposed. Concerning the decentralized mode, the improved revenue sharing contract can be used to coordinate the decentralized decision-making supply chain effectively. Finally, the theoretical results are illustrated by conducting some numerical examples.     

A system-wide interdisciplinary conceptual framework for food loss and waste mitigation strategies in the supply chain

The issues of food loss and waste (FLW) in the global supply chains have recently gained attention. However, causes for FLW and their mitigation strategies for curbing FLW at different stages of the supply chains remains under researched. Our research aims to address these research gaps in a three-fold way: i), we identified key causes (through root-cause analysis) of FLW in the supply chain of developed and less developed countries; ii), systematically classified measures and policies, which have been implemented to mitigate FLW; iii), developed an interdisciplinary conceptual framework for waste utilisation practices that can contribute towards the triple bottom-line in food system. A root-cause analysis was performed, and mitigation strategies identified by systematically analysing and synthesizing the extant research published over the past 20 years (1998 to 2018) in the areas of food loss and waste in the supply chain. A conceptual model for the prevention of FLW utilising a systems approach through the circular economy concept has been proposed. Since the agri-food sector is largely interdisciplinary, we have also demonstrated a method of integrating contributions from multiple disciplines in our proposed model towards achieving a total depollution (zero waste supply chain).     

Logistics and supply chain management in luxury fashion retail: Empirical investigation of Italian firms

The Italian industry of fashion goods is a business worth 67.6€ billion in 2006 (Il Sole 24ore, January 10, 2007), of which about 26€ billion is due to the luxury segment. Marketing gurus state that “consumers everywhere at every income level want more luxury” [Danziger, P.N., 2005. Let them Eat the Cake: Marketing Luxury to the Masses as well as the Classes. Dearborn Trade Publishing, Chicago]: therefore, companies should move brands towards a higher positioning and add more valuable features to products and services, but this cannot be obtained only by means of marketing efforts. Which is the role of operations and supply chain management in luxury fashion companies’ success? This paper presents the results of the exploratory stage of a research project ongoing at Politecnico di Milano and dealing with supply chain management in the luxury fashion industry. In total, 12 Italian luxury fashion retailers have been studied in order to describe the main features of operations and supply chain strategies in the luxury fashion segment and to identify their role with respect to the relevant critical success factors.     

基于顾客比价行为的双渠道供应链定价决策研究

本文在考虑顾客比价行为的前提下，构建一个制造商和一个零售商组成的二级供应链系统，分析比价顾客的比例对于制造商与零售商在分散决策和集中决策模式下供应链整体利润、销售价格的变化，并通过算例验证研究结论。结果表明，随着比价顾客比例的提高，零售商销售价格上升，顾客体验价值上升，供应链整体利润在集中决策模式下较高，且呈上升趋势。     

Dynamic supply chain modeling using a new fuzzy hybrid negotiation mechanism

The key part of dynamic supply chain management is negotiating with suppliers and with buyers. Coordination is essential for successful supply chain management. In order to model coordination among suppliers and buyers in a dynamic supply chain, this paper takes a step further and proposes a new fuzzy- logic-based hybrid negotiation mechanism. In most real-world negotiation situations, agents have a common interest to cooperate, but have conflicting interests over exactly how to cooperate. These situations involve restrictions and preferences that may be vaguely and partly defined. Therefore, this study takes the advantage of fuzzy logic and develops a hybrid negotiation-based mechanism, that combines both cooperative and competitive negotiations. Achieving effective coordination in a multi-agent system is non-trivial as no agent possesses the global view of the problem space. Moreover, the different strategies adopted by agents may produce conflicts. While agents coordinate with each other in the operations, they will negotiate about their strategies to reduce conflicts. The proposed fuzzy hybrid negotiation mechanism allows negotiation agents more flexibility and robustness in an automated negotiation system. The proposed mechanism not only helps sellers and buyers to explore various new choices and opportunities that the e-markets offer but also allows them to identify and analyze their resource constraints in a given schedule, and helps them to explore and exploit many alternatives for a better solution. The efficacy of the proposed approach is demonstrated through an illustrative example.     

A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain

Green or environmental concerns are drawing more and more attention both in academia and industry. Careful deployment of green initiatives or policies could not only fulfil the requirements of environmental legislation but also lead to a competitive advantage for firms. Nevertheless, making optimal decisions in this regard is not easy. This is principally due to two reasons: (1) the qualitative nature of, and (2) the uncertainty associated with, the parameters involved in the decision-making process. Analytic hierarchy process could be a useful tool to tackle the first challenge because of its ability to handle both qualitative and quantitative variables (decision criteria). Unfortunately, this approach is inadequate at addressing the uncertainties common in real-life applications. This challenge is particularly noticeable in the fashion industry since demand is very volatile, and there are many uncertain variables associated with the whole supply chain. As a result, this paper blends fuzzy logic, which is a popular method of incorporating uncertain parameters into the decision-making process, with analytic hierarchy process to form a selection (decision-making) model for different green initiatives in the fashion industry. The rationale behind the model is to analyse the associated risk of different alternatives, subject to different factors, be they deterministic or not. A numerical example is included in this paper to demonstrate how the proposed model works.     

A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty

Manufacturers need to satisfy consumer demands in order to compete in the real world. This requires the efficient operation of a supply chain planning. In this research we consider a supply chain including multiple suppliers, multiple manufacturers and multiple customers, addressing a multi-site, multi-period, multi-product aggregate production planning (APP) problem under uncertainty. First a new robust multi-objective mixed integer nonlinear programming model is proposed to deal with APP considering two conflicting objectives simultaneously, as well as the uncertain nature of the supply chain. Cost parameters of the supply chain and demand fluctuations are subject to uncertainty. Then the problem transformed into a multi-objective linear one. The first objective function aims to minimize total losses of supply chain including production cost, hiring, firing and training cost, raw material and end product inventory holding cost, transportation and shortage cost. The second objective function considers customer satisfaction through minimizing sum of the maximum amount of shortages among the customers’ zones in all periods. Working levels, workers productivity, overtime, subcontracting, storage capacity and lead time are also considered. Finally, the proposed model is solved as a single-objective mixed integer programming model applying the LP-metrics method. The practicability of the proposed model is demonstrated through its application in solving an APP problem in an industrial case study. The results indicate that the proposed model can provide a promising approach to fulfill an efficient production planning in a supply chain.     

Understanding users' performance evaluation of IT solutions

Traditionally, buying center research in business marketing has long focused on the role of various buying center members, including users, in influencing purchasing decisions. Recent studies have also established the important role users play in successfully implementing information technology (IT) initiatives of buying organizations and its influence on future relationships with sellers. Consequently, in order to ensure future business, marketers need users to evaluate their solutions favorably. This study attempts to understand the factors influencing user evaluation of performance of sellers' IT solutions. Based on an inter-disciplinary approach, a model of antecedent factors to explain user evaluation of suppliers IT solutions is proposed and tested. Results gleaned from a survey of 361 users of Internet-based technology in an automotive supply chain indicate that user attitudes toward technology, satisfaction with the new technology, users' overall understanding of supply chain management principles, and job-related consequences influence user evaluation of IT solutions.     

A two-stage model for the design of supply chain networks

This research aims to develop an analytical model of the supplier selection process in designing a supply chain network. The constraints on the capacity of each potential supplier are considered in the process. The assumed objective of the supply chain is to minimize the level of customer dissatisfaction, which is evaluated by two performance criteria: (i) price and (ii) delivery lead time. The overall model operates at two levels of decision-making: the operational level and the chain level. The operational level concerns decisions related to optimizing the manufacturing and logistical activities of each potential supplier in order to meet the customer's requirements. At the chain level, all the bids from potential suppliers are evaluated and the final configuration of the supply chain is determined. The structure of the chain depends on the product specifications and on the customer's order size. An optimal solution in terms of the models for the two levels can be obtained by using a mixed-integer programming technique.     

经销商再制造的闭环供应链收益-费用契约协调研究

针对经销商从事再制造的闭环供应链最优决策及协调问题，考虑消费者对新产品和再制造品的接受程度不同，本文构建了集中决策和分散决策两种模式下闭环供应链差别定价模型。研究发现，分散决策会造成整个闭环供应链的效率损失；消费者接受度对闭环供应链系统中各方的最优决策及利润具有一定影响，并提出了收益共享-费用分担契约来实现闭环供应链的协调和效率优化。最后通过算例分析，进一步验证了本文所提出的协调机制对闭环供应链的有效性。     

Benefits of using hybrid business models within a supply chain

Today's competition between supply chains (SC) requires optimized strategies in order to satisfy customers’ demands. The business models used by the SC members play a big role in this delivery of value to the customer. From here the notion that a mismatch between the intended market and the business model used to address it translates into a poor SC performance. As real-life business environments have become really complex, SC members have been forced to use hybrid business models (that is, the integration of features of two different business models). A review of the literature in the area of supply chain management shows that past research have not paid much attention to this issue. The objective of this paper is to quantitatively evaluate the influence these hybrid business models have on the SC performance. For this purpose, a system dynamics (SD) simulation model is developed and tested under different operational conditions, so conclusions can be derived regarding the benefits of the use of hybrid business models.     

Moderating the impact of global sourcing on inventories through supply chain management

In recent years, companies have paid growing attention to supply chain management at a global level. With regard to the upstream part of the supply chain, the need for better suppliers, the research into specific competences and concerns related to international competition have forced companies to improve their ability to cope with suppliers located in different countries around the world. The literature suggests that the geographical distance of suppliers should create higher inventory levels primarily because of longer and more uncertain lead times. However, as this paper aims to demonstrate, companies can limit this effect by means of specific investments in the supply chain and in their relationships with suppliers. The empirical analysis is based on data from the last edition of the International Manufacturing Strategy Survey (IMSS). The results show that companies performing global sourcing have invested in supply chain management (SCM) and that this has been helpful in keeping their inventories under control.