The US fashion industry: A supply chain review

The fashion industry has short product life cycles, tremendous product variety, volatile and unpredictable demand, and long and inflexible supply processes. These characteristics, a complex supply chain and wide availability of data make the industry a suitable avenue for efficient supply chain management practices. The industry has also been in a transition over the last 20 years: significant consolidation in retail, majority of apparel manufacturing operations moving overseas and, more recently, increasing use of electronic commerce in retail and wholesale trade. This paper aims to review the current state of operations and recent trends across the fashion supply chain in the US. We use industry-wide data, articles from business journals, industry reviews and extensive interviews with an apparel manufacturer in California, and a major US department store chain to describe the current operational practices and how the industry is restructuring itself during the transition, focusing at the apparel manufacture and retail segments of the supply chain.     

Robust supply chain management

Faced with uncertainty, researchers have explored concepts such as robustness, flexibility, information structure, options, and market power for supply chain management. Despite many influential findings, such as the presence of the bullwhip effect and channel power, the literature in supply chain management is a bit confusing with regard to these concepts, including how they are related to each other. In light of this, we discuss the meaning of the terms in a supply chain management context. We indicate what questions are at stake and some pitfalls to be aware of if the phenomenon we are concerned about is affected by strategic players. This paper is modelling focused.     

Sustainable fashion supply chain management under oligopolistic competition and brand differentiation

In this paper, we developed a new model of oligopolistic competition for fashion supply chains in the case of differentiated products with the inclusion of environmental concerns. The model assumes that each fashion firm's product is distinct by brand and the firms compete until an equilibrium is achieved. Each fashion firm seeks to maximize its profits as well as to minimize its emissions throughout its supply chain with the latter criterion being weighted in an individual manner by each firm. The competitive supply chain model is network-based and variational inequality theory is utilized for the formulation of the governing Nash equilibrium as well as for the solution of the case study examples. The numerical examples illustrate both the generality of the modeling framework as well as how the model and computational scheme can be used in practice to explore the effects of changes in the demand functions; in the total cost and total emission functions, as well as in the weights.     

Modeling defaults of companies in multi-stage supply chain networks

The interest in supply chain networks and their analysis as complex systems is rapidly growing. The physical approach to the topic draws on the concept of heterogenous interacting agents. The interaction among agents is considered as a repeated process of orders and production. The dynamics of production in the supply chain network which we observe is nonlinear due to the random failures in processes of orders and production. We introduce an agent-based model of a supply chain network which represents in more detail the real economic environment in which firms operate. We focus on the influence of local processes on the global economic behavior of the system and study how the proposed modifications change the general properties of the model. We observe collective bankruptcies of firms, which lead to self-emerging network structures. Our results give insight into the dynamics of default processes in supply chain networks, which have important implications both for risk managers and policy makers. Based on the simulations we show that agent-based modeling is a powerful tool for optimization of supply chain networks.     

Optimal pricing and order policies with B2B product returns for fashion products

We study optimal pricing and order policies in supply chain management of fashion products (e.g., a fashion apparel category) with consideration of product returns between supply chain partners (B2B). In order to study channel performance and optimal policies, two stochastic models for centralized channel and decentralized channel are, respectively, developed to handle new fashion and off-season product sales. In the centralized channel, closed-form solutions for optimal order and pricing decisions are proposed for new fashion products. Further, in a decentralized channel, the Stackelberg game model is proposed to derive the optimal Stackelberg equilibrium solution, and then a buy-back contract is designed to coordinate the channel. We also perform parameter analysis on performance of the two channel models. Numerical analysis is finally presented to validate our theoretical results and compare channel performances.     

A serial supply chain of newsvendor problem with safety stocks under complete and partial information sharing

We consider a supply chain where multiple members are serially connected. The decision is to determine the ordering quantity of a member to the next upstream member in the supply chain. The basic cost model is similar to the newsvendor problem with additional consideration to safety stock. This paper presents optimal approaches for coordination of the supply chain under both complete and partial information sharing in order to maximize the total expected benefit. For complete information sharing we develop an optimal coordination algorithm. For partial information sharing, we propose an optimal coordination algorithm based on the Alternating Direction Method and the Diagonal Quadratic Approximation Method. A numerical example is discussed to show the optimal convergence of ordering quantities and discuss the properties of the proposed algorithms.     

The impact of flexibility on operational supply chain planning

We study in this paper the effects of volume flexibility, delivery flexibility and operational decision flexibility in operational supply chain planning under uncertain demand. We use a rolling schedule to plan supply chain operations for a whole year. The planning horizon is 4 weeks with deterministic demand in the first week and predicted for the following 3 weeks. Using a case from the Norwegian meat industry, we compare the annual operating results of using a two-stage stochastic programming model to the deterministic expected value problem in order to discuss the impact of flexibility in the supply chain.     

Ordering and pricing policies in a manufacturing and distribution supply chain for fashion products

In the paper, we develop a model of manufacturing and distribution supply chains that are operating to meet price-sensitive random demand for products with short life cycles such as fashion products. Two specific scenarios are considered. The manufacturer-controlled scenario is one where the distributor shares price-sensitive random demand with the manufacturer, and the manufacturer controls the supply chain stocking decisions and bears the risk of overstocking costs. The distributor-controlled scenario works in the opposite direction. Prevailing wisdom suggests that the manufacturer should control supply chain decisions (e.g., via vendor-managed inventory). Our results indicate that such an arrangement is against the interest of a distributor selling short life-cycle products. Furthermore, we find that the total supply chain profit is generally higher when the distributor controls the supply chain stocking decisions and bears the risk of overstocking costs.     

Digitalization within food supply chains to prevent food waste. Drivers,barriers and collaboration practices

Food supply chains increasingly rely on big-data management solutions to foster collaboration across the food supply chain and improve business performance. However, little is known about collaboration practices that actors on the digital food supply chain adopt to solve problems such as food waste, or about the drivers and barriers related to the digital transformation of the food supply chain. Most of food waste studies rely on quantitative analysis, which cannot reveal relevant details about the tensions and dynamics of collaboration. We conducted a qualitative study drawing on eighteen in-depth interviews - of managers of large multinational and local organizations covering different and relevant roles on the digital food supply chain - to investigate how organizational and food supply chain processes are affected by the digitalization of the operations along the food supply chain. By triangulating emerging findings with literature on supply chain management we discuss different views about collaborative practices for food waste prevention in the food supply chain and provide insights on how supply chain design and firms' operations have been re-conceptualized with the usage of digital technologies and on the institutional forces both limiting (barriers) and fostering (drivers) the diffusion of the digital food supply chain.     

Mean-variance analysis of Quick Response Program

Quick Response Program (QRP) has been well established in fashion supply chains. It is known that QRP may not be equally good to all channel members and some measures have to be taken in order to achieve a win–win situation. However, little is known about the corresponding level of risk associated with QRP and some proposed measures. In light of this, we study QRP via a mean-variance (MV) approach. We illustrate how the measures such as price commitment policy, service-level commitment policy, and buy-back policy can be adjusted to achieve the MV win–win situation in which the channel members can be better off with considerations of both expected profit and risk. Numerical analyses are included and the analytical conditions for achieving both the supply chain channel coordination and the MV win–win situation are derived. Managerial insights are generated.     

基于供应链整体优化的服装零售时间成本管理研究

基于时间竞争条件下企业竞争环境的变化,越来越多现代服装企业愈加重视时间管理.在作为服装产业链终端的零售环节,对于时间成本管理尚未形成一定体系.本文从供应链整体优化角度入手对服装零售时间成本进行分析,探索其产生原因,归纳管理方法.     

基于环境价值链的闭环供应链模式及其应用

本文在比较分析了传统价值链和环境价值链之间的区别后,提出面向产品生命周期的环境价值链分析是较为完备的评价价值办法。在此基础上,运用环境价值链的方法对闭环供应链(CLSC)这种管理模式进行了解释性分析,并剖析了六类主体之间资金流、物流和信息流的交换关系。最后,对CLSC管理模式实施过程中的关键问题进行探讨,为我国产业政策调整和CLSC管理模式的应用提出有价值的建议。     

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.     

基于供应链管理的房地产开发企业成本控制研究

对于房地产企业来说，搞好成本控制是企业降本增效，正确体现经营成果的一项重要手段。世界经济的一体化和电子商务的发展改变了传统的商业规则，企业已经难以再依靠传统的成本控制手段，目前已经开始试图从供应链管理这种全新的企业成本管理模式，来探讨如何进行企业成本控制。     

The effects of management inertia on the supply chain performance of produce-to-stock firms

This article examines the impact of inertia on the management of the firm's supply chain operations and the effects it can have on a produce-to-stock firm's ability to respond to external market pressure and develop corrective strategies. The research methodology used is based on earlier Catastrophe Modeling that looked at inertia in organizational design, competitive pressure, and competitive response. The model demonstrates how latent variables, such as customer pressure and supply chain inertia can influence a finished goods supply chain management's response under various conditions. The model was tested and validated using questionnaire data gathered from a sample of members of the Council of Logistics Management. The model was used to estimate individual finished goods firm inertia response estimates. We incorporate these estimates in a brief examination of three produce-to-stock firms from the sample to give readers an idea of the usefulness of the approach in examining supply chain inertia.     

Mean-downside-risk and mean-variance newsvendor models: Implications for sustainable fashion retailing

Newsvendor models have been well-established for studying supply chain management problems with fashionable products. In this paper, we explore the mean-downside-risk (MDR) and mean-variance (MV) newsvendor models under both the exogenous and endogenous retail price decision cases. We first construct analytical models with the MDR and MV objectives. We then show that the analytical solution schemes for both the MDR and MV problems are the same. With the measures for sustainability such as the expected quantity of goods leftover, the expected sales to expected goods leftover ratio, the rate of return on investment, and the probability of achieving a pre-determined profit target, we proceed to compare the levels of sustainability by the fashion retailers which employ the mean-risk and the risk neutral models. Insights are generated.     

供应商选择方法综述

针对供应链管理是目前企业管理的先进管理模式,供应链管理可以实现供应链上各节点企业的“共赢”,对作为整条供应链源头的供应商评价与选择已成为企业提高竞争优势的关键。在对目前供应商选择方法从定量和定性角度研究的基础上,分析了各种方法存在的优缺点,以及应如何选择合适的评价方法,为企业选择供应商提供有力参考。     

Trade promotion mode choice and information sharing in fashion retail supply chains

Trade promotion has a significant impact on the retail business, particularly in the fashion sectors. Manufacturers have traditionally been concerned with the inefficiency of trade promotion due to the low pass-through rate of the trade deals from retailers to customers. The scan-back (SB) trade deal, which monitors a retailer's sales via an IT system, benefits the manufacturer, but may or may not benefit the retailer. We provide insight into when a retailer in a two-stage supply chain has incentive to accept the SB trade deal. We show that (1) the manufacturer and the entire supply chain can always benefit from the SB trade deal while the retailer benefits only under some conditions, and that (2) both the retailer and the manufacturer can benefit from the SB trade deal if the SB deal is accompanied by a buyback (BB) contract. We examine the effect of a retailer's confidential pass-through rate on both the retailer's and the manufacturer's incentives to use the SB trade deal.     

奖惩机制下回收投资成本分担对闭环供应链决策的影响研究

为了探讨奖惩机制下制造商与回收商分担固定回收投资成本对闭环供应链决策的影响,利用博弈论建立了由制造商、回收商和消费者构成的闭环供应链模型。通过对比分析及仿真得出各决策变量基于制造商分担比例及奖惩力度的变化。研究表明：仅考虑制造商分担回收投资成本、奖惩机制下制造商分担回收投资成本均能有效提高回收率,降低零售价,提高产品需求量,且第二种机制作用效果更佳。适当的分担比例和奖惩力度可以提高制造商和零售商的利润。因此,在合理的奖惩力度下制造商分担一定的回收投资成本时,闭环供应链各成员能实现互利共赢。     

中小企业融资、供应链金融与供应链风险述评

如何突破中小企业融资难,寻求与深化供应链金融从理论研究植入中小企业融资实践,是目前财务金融研究的一项热点。本文从中小企业融资、供应链金融及供应链风险等方面,对现有研究成果进行梳理评析,提出进一步发展的方向。