Diffusion and Performance of Modular Production in the U.S. Apparel Industry

This article examines the determinants of the diffusion of team production systems (modular assembly) and the impact of these systems on firm performance relative to traditional assembly systems in the apparel industry. The article draws on an extensive survey providing detailed information on a wide range of manufacturing practices and retail relationships in the U.S. apparel industry. We find that recent diffusion of modular practices is driven primarily by the product market. We also show that modular systems affect business-unit performance (particularly operating profits) where they are combined with complementary investments in information systems linking apparel suppliers with retail customers.     

Towards a sustainable fashion retail supply chain in Europe: Organisation and performance

Sustainability issues are particularly sensitive to the fashion supply chain, given current fierce competition, intensive resource use, and the exposure of penurious labour conditions in some regions.In this paper, we discuss how the sustainability movement is impacting the fashion retail supply chain organisation and its performance. We carried out a study with stakeholders of the fashion industry and we report on their views. We elaborate on the challenges and conflicts of the different dimensions of sustainability, and we discuss how to leverage both the internal and external organisations in the European supply chain.     

Using System Dynamics to assess the impact of RFID technology on retail operations

The application of item-level radio frequency identification (RFID) technology in retail supply chains creates cost savings and promises large potential benefits from revenue growth. However, the economic assessment of the impact on improved store operations, labor utilization, and increased sales is still not fully explored. We propose to use System Dynamics as a structural modeling and simulation approach to integrate conventional return on investment evaluations. Building on previous research about RFID technology in retail supply chains, we developed a model based on the case exploration of a leading Italian apparel retailer. Simulations show that RFID implementations are profitable whenever they contribute to increase sales, especially when a fashion retailer is focused on clerk-assisted sales strategies. Sales growth results from the dynamic and integrated impacts of RFID technology on better inventory control, faster inventory turnover, and longer time available for store personnel to assist consumers as an effect of more efficient backroom operations.     

A holistic network model for supply chain analysis

Supply chain researchers are experiencing a conceptual and analytical paradox. They are asked to move beyond dyadic analyses and investigate larger network effects with only a limited analytical toolkit. This research proposes the use of bilinear mixed-modeling to holistically analyze supply chain phenomena. Through this approach, researchers are able to account for multiple supply chain relationships, higher-order dependencies among member firms, and simultaneously evaluate covariates from buyer and seller perspectives. The model is validated through the lens of a pervasive supply chain problem commonly referred to as the bullwhip effect. A sample of firms from the US apparel industry in 2004 is analyzed and then the findings are confirmed using data from 2005. In addition to validating the model through the presence of the bullwhip effect, the bilinear model illuminates variables such as advertising, price deals, inventory turnover, and inventory backlogs that exacerbate or diminish inventory differences between firms in a supply chain. The results extend research on supply networks and supply efficiency to a more holistic level and show that higher-order dependencies are important drivers of supply chain phenomena.     

Quantifying the benefits of breaking bulk in retail operations

We explore the benefits of ‘breaking bulk’ in retail operations. Here, breaking bulk refers to delivering single units from distribution centers to retail outlets rather than the multiple units bundled together by manufacturers termed ‘case-packs’. The focus is largely on the benefits to space management at the retail level, rather than the more obvious reduction in inventory costs. Using data from the grocery industry, results indicate that retail unit profitability can be increased substantially by breaking bulk—but only if current inventory replenishment practices are changed. In essence, breaking bulk allows for either higher product variety within a store or identical variety in smaller stores. This work seeks to quantify the order of magnitude of that benefit.     

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.     

Intelligent product cross-selling system with radio frequency identification technology for retailing

This paper presents a combined use of both RFID technology and product cross-selling system to perform cross- and up-selling for retail industry. In this study, two systems, namely the Smart Dressing System (SDS) enabled by RFID technologies, and Intelligent Product Cross-selling System (IPCS), have been developed. The SDS demonstrates a research endeavor in which, unlike the previous studies focusing on transactional data, customers' in-store data can be collected using RFID-enabled SDS and used for promoting or cross-selling new products to the customers effectively and efficiently. The IPCS, integrating a rule-based expert system and a fuzzy screening technique, can handle the difficulty of processing linguistic and categorical information to simulate fashion designers to recommend appropriate fashion product items for cross-selling effectively. The proposed systems are evaluated to execute the selling strategies more effectively, which in turn improve sales performance in fashion retail industry.     

Supply chain environmental investments in dynamic industries: Comparing investment and performance differences with static industries

Research linking investments in environmental practices to firm performance has matured over the past years. However, empirical research is still ambiguous on how and whether investments in environmental practices improve a plant's performance. We believe that contingency factors, especially the industry in which plants act has a significant role in the success of environmental investments. Using empirical data collected across a wide range of industries our results indicate that plants competing in dynamic industries such as apparel do on average invest less in supply chain environmental practices compared to plants in static industries. In addition, these environmental investments do not significantly improve operational performance in dynamic industries in terms of cost, quality, delivery and flexibility. However, in static industries environmental investments do significantly improve a plant's operational performance in terms of cost, quality and flexibility.     

Coordinating dispersed product development processes: A contingency perspective of project design and modelling

Managing worldwide supply pipeline operations concerns coordination and control of every step of the chain process starting from raw material sourcing, production, finally to distribution of market-specific items in retail places, all the way from product value inception and engineering, through manufacturing design, to the worldwide logistic planning. From systems perspectives, their relationships and interactions determine the overall performance. Coordinating such systems is very human-inclusive, characterised by abstract, ill-structured information interchange among well-partitioned expert groups. In this paper we documented the experience and implications of managing and modelling product development activities from a contingent perspective of interdependence. In our investigations amongst six international fashion corporations, crucial activity tasks in different countries were analyzed and evaluated within the context of launching schedule-driven fashion products. At the outset, we present the problem context, the issues arising from coordinating product development systems, and the approach we use to deal with the issues, i.e. modelling and manipulating the process interaction. We put forth a dependency-based process performance simulation, the related approach of data capture and the attribute constructs to represent the interactivity relationship. Finally, we discuss the computation process and evaluation strategy, which is indeed inspired by today's simulation-based optimization concepts. An effective GA heuristics is duly implemented.     

Getting rid of trans fats in the US diet: Policies, incentives and progress

Artificial trans fats in foods increase chronic disease risk in the US population. Federal nutrition label regulation enacted in 2003 requires mandatory disclosure of trans fat content on packaged foods. This action created incentives for the food industry to reduce trans fats both in response to consumer demand and through competition to maintain product reputation. Subsequent public actions include a ban on trans fat use in New York city restaurants and lawsuits against food companies, which created further incentives to remove trans fats, especially in the food service industry. Industry has reformulated packaged foods and found substitutes for restaurant fry oils and trans fats are disappearing from the US food supply. Market response extends throughout the supply chain, and has spurred research to alter oilseed crop characteristics. The widespread and relatively rapid industry response likely has improved the quality of US diets, and demonstrates the potential for policy actions to spur such improvements.     

我国服装零售价格影响因素的实证分析

利用我国1999—2011年的年度数据,对服装零售价格及其影响因素:服装产量、国内外需求、出厂价格、流通成本首先进行单位根检验、然后建立多元线性回归模型。结果表明:服装出厂价格是影响我国服装零售价格的最主要因素,其次是国内需求,而流通成本的影响程度并不大。     

Fashion retail forecasting by evolutionary neural networks

Recent literature on nonlinear models has shown that neural networks are versatile tools for forecasting. However, the search for an ideal network structure is a complex task. Evolutionary computation is a promising global search approach for feature and model selection. In this paper, an evolutionary computation approach is proposed in searching for the ideal network structure for a forecasting system. Two years’ apparel sales data are used in the analysis. The optimized neural networks structure for the forecasting of apparel sales is developed. The performances of the models are compared with the basic fully connected neural networks and the traditional forecasting models. We find that the proposed algorithms are useful for fashion retail forecasting, and the performance of it is better than the traditional SARIMA model for products with features of low demand uncertainty and weak seasonal trends. It is applicable for fashion retailers to produce short-term retail forecasting for apparels, which share these features.     

The integration between marketing and purchasing in the traceability process

This paper provides an overview of the implications of integrating marketing and purchasing offered by traceability. The research offers some evidence of the adoption of different traceability approaches by actors along the supply chain, illustrating the relevance of the traceability issue and how traceability can be exploited. The paper presents findings from a case analysis process of five actors in the fashion industry. This industry has experienced strong integration between industrial and retail functions and relevant changes in the organisation of production networks (global shift of production to new industrialized countries and emerging markets) which place emphasis on the traceability topic. Traceability emerges as a complex concept that concerns the sharing of information about the product and production processes along the supply chain in BTB networks up to the consumers in the final market. The issue analysed focuses on organising, with a discussion of two different uses of traceability: traceability as a tool for inter-organisational control and traceability as a tool for market power. The two approaches give rise to different implications at the individual company and business network levels. The traceability process has intraorganisational consequences in terms of contents, technologies and actors involved in its implementation. These consequences are different according to the role played by the process.     

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.     

A comparative analysis of greening policies across supply chain structures

In this paper, we examine an apparel serial supply chain whose players initiate product “greening.” We consider situations in which the players cooperate or act individually. Our problem is motivated by recent developments in the supply chains of global apparel players. We build game theoretic models and show how greening levels, prices and profits are influenced by channel structures. We also study the impact of greening costs and consumer sensitivity towards green apparels. We propose a two-part tariff contract to coordinate the green channel. Our key contribution lies in the model of decision making of various supply chain structures and analyzing its impact on the players and supply chain. The problem throws interesting insights into the strategies of apparel players and their key decisions.     

基于互联网信息的服装语料库构建

目的:利用互联网资源作为语料来源,构建服装专业语料库,从而运用语料库技术挖掘服装设计要素。方法:通过利用网络信息及语料库技术为服装设计建立一个系统的、全面的时尚文本素材库。结果:互联网的出现对人们生活方式产生了影响,探索信息技术及互联网资源在服装行业的应用。结论:互联网对于服装行业的影响及语料库技术应用于服装领域的可行性与价值十分巨大,值得推广。     

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.     

Demand chain alignment competence — delivering value through product life cycle management

This paper endorses demand chain alignment as a competence that supports effective product life cycle (PLC) management. Demand chain alignment integrates the demand creation (historic domain of marketing) and demand fulfilment processes (domain of supply chain management), to develop and to deliver products that convey superior customer value while deploying resources efficiently. So far, the relationship between demand chain alignment and PLC management has only been addressed from an operations and demand/supply chain perspective, but not from a marketing perspective. Three research propositions, on the relationship between both concepts, are derived from a literature review and applied to a case study from a global player in the tobacco industry. The findings do not support the current view that the product life cycle is a market-oriented classification variable for demand chain strategies. Instead, demand chain alignment needs to link customer needs-based segments with the supply chain. Moreover, PLC management and demand chain alignment have a mutually reinforcing relationship, in which PLC management can facilitate the competence development, ensures a dynamic perspective and, at the same time, benefits from aligned demand creation and fulfilment processes. Based on the findings, a model integrating demand chain alignment and PLC management is proposed.     

Efficient versus Responsive Supply Chain Choice: An Empirical Examination of Influential Factors

Contemporary strategies in operations management suggest that successful firms align supply chain assets with product demand characteristics in order to exploit the profit potential of product lines fully. However, observation suggests that supply chain assets often are longer lived than product line decisions. This suggests that alignment between supply chain assets and demand characteristics is most likely to occur at the time of initial market entry. This article examines the association between product demand characteristics and the initial investment in a supply chain at the time of market entry. We characterize supply chains as responsive or efficient. A responsive supply chain is distinguished by short production lead‐times, low set‐up costs, and small batch sizes that allow the responsive firm to adapt quickly to market demand, but often at a higher unit cost. An efficient supply chain is distinguished by longer production lead‐times, high set‐up costs, and larger batch sizes that allow the efficient firm to produce at a low unit cost, but often at the expense of market responsiveness. We hypothesize that a firm's choice of responsive supply chain will be associated with lower industry growth rates, higher contribution margins, higher product variety, and higher demand or technological uncertainty. We further hypothesize that interactions among these variables either can reinforce or can temper the main effects. We report that lower industry growth rates are associated with responsive market entry, but this effect is offset if growth occurs during periods of high variety and high demand uncertainty. We report that higher contribution margins are associated with responsive market entry and that this effect is more pronounced when occurring with periods of high variety. Finally, we report that responsive market entry also is correlated positively with higher technological demand uncertainty. These results are found using data from the North American mountain bike industry.     

SCOR template—A simulation based dynamic supply chain analysis tool

The supply chain operations reference model model (SCOR) is developed and maintained by the Supply Chain Council (SCC). The SCOR model is a reference model that can be used to map, benchmark, and improve supply chain operations. SCOR template is a simulation based analysis tool, developed to capture the dynamics of supply chain operations. The first version of the SCOR template was presented in a previous article by Persson and Araldi (2009). Since the finalisation of the first article concerning the SCOR template, a second version of the SCOR template has been constructed and tested in at a case company; Alfa Laval at Ronneby, Sweden—a manufacturer of heat exchangers. Version 2 of the SCOR template is more complete than the previous version. More metrics were introduced and the return processes included. Emphasis has been on making supply chain analysis simple with the introduction of a new building block—the metric module. The case study at Alfa Laval has been based on data from a value stream mapping (VSM) and aimed at comparing different scenarios in the production networks for one specific product. The results of the comparison are one of the pieces of data that the company managers will use when deciding where to allocate production resources in the international production network.