Applying activity-based costing in a supply chain environment

Traditional intra-firm cost accounting tools are not appropriate in the context of supply chain management, as there are no standards for the definition and composition of costs. This prohibits exchange and comparison of cost data among different supply chain members. Against this background, several activity-based costing models for inter-firm cost accounting have been proposed. Evaluating these models, a conceptual framework for activity-based costing in a supply chain has been developed. This also forms the basis for a single case study conducted at Europe's largest company for façade components. This demonstrates how significant inter-firm cost saving opportunities can be identified and offers a first step in assessing the suitability of the proposed model.     

Aligning the sustainable supply chain to green marketing needs: A case study

The research explores the challenges facing organisations in aligning sustainable procurement requirements and marketing needs and the attendant shifts in supply chain management practices. Whilst external influences are readily understood (e.g. regulation and customer demand), less is understood about the implications for suppliers trying to meet sustainable procurement requirements and the organisational challenges of aligning marketing with sustainable supply chain management. An exploratory case study of a UK University catering department has been undertaken, to explore the strategies, processes and relationships associated with synthesising sustainable supply chain and green marketing needs. The empirical findings illustrate the divergence between organisational perspectives on sustainability and procuring sustainable products with marketing demands. Thus, the findings extend the theoretical discussion on sustainable supply chains by providing empirical data based on real-life implementation and from this an emergent aligned supply chain model is proposed, which confirms two drivers for alignment, ‘lean and resource efficient’ and ‘local and seasonal’ — contingent on market demand. The findings emphasise the benefits of a reverse information flow, the importance of intermediaries, and relationships in its fulfilment, while indicating the resurgence of a supply ‘push’ of sustainable products into core markets. Future research directions are also posited.     

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.     

Supply chain management in the luxury industry: A first classification of companies and their strategies

This paper aims at analysing the supply management strategies in the luxury industry in order to find out (1) whether different clusters of companies could be identified within the luxury industry, on the base of a set of contingent variables derived from previous research, and (2) which supply chain strategy is currently applied within each cluster. Case study methodology is used. A sample of 15 Italian luxury companies, belonging to different industrial sectors, was taken into account.On the basis of five classification variables (company size, selling volume, product complexity, product fashionableness and brand reputation) four clusters are identified; these clusters present differences in terms of Supply Chain strategy, as well as in terms of practices for managing manufacturing, sourcing and distribution processes.     

Supply-chain pricing—A new perspective on pricing in industrial markets

There is growing recognition that collaborative business relationships within the supply chain provide interesting opportunities for mutually increased benefit. However, while efforts on improving collaboration within the supply chain are indeed already widespread in some aspects of goods and services—for example, many manufacturers integrate their logistics function with those of their suppliers—such efforts are lacking when it comes to pricing. In contrast to the predominant position of pricing in most industries, the following article will investigate the opportunities for suppliers and customers to collaborate on pricing in order to establish mutually beneficial relationships. The article will demonstrate that this goal can only be attained when price is no longer regarded as an ex ante distributive parameter between market partners, but as a joint tool for outcome optimization within the overall supply chain process. We will clarify this new perspective with a calculation example and point out managerial implications for practical implementation.     

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.     

Market orientation and quasi-integration: Adding value through relationships

This study explores and describes the rationales and approaches of a market orientated supply chain — labeled the “demand chain”. The objective is to develop theory by providing grounded insights into how and why managers design and implement a market orientated supply chain. Analysis of twenty field interviews uncovered three main rationales for demand chain configuration. Further, a continuum of integration typologies is presented and three key responses explored and described. These findings are discussed and implications for theory and practice are offered.     

A model for supply management of agile manufacturing supply chains

This paper addresses the configuration problem of Manufacturing Supply Chains (MSC) with reference to the supply planning issue. Assuming that the manufacturing system is composed of different stages, we present a technique for the strategic management of the chain addressing supply planning and allowing the improvement of the MSC agility in terms of ability in reconfiguration to meet performance. More in detail, we enhance a previous design method by some of the authors that employs digraph modeling and integer linear programming to optimally design the MSC. The original approach avoids supply chain disruption and stock out and, at the same time, can manage spare parts distribution. In order to take into account the level of demands and maximum production capacities with single/multiple sourcing, in this new formulation we introduce supplier capacity constraints. A case study is presented describing the optimal MSC configuration of an Italian manufacturing firm. The obtained results show that the design method provides managers with key answers to issues related to the supply chain strategic configuration and agility, e.g., choosing the right location for distributors and retailers for enhanced MSC flexibility and performance.     

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.     

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.     

A review of the extensions of a modified EOQ model for imperfect quality items

Imperfect items in the raw material and production stages of a supply chain directly impact the coordination of the product flow within a supply chain. In response to this concern, production and inventory lot sizing models, which incorporate imperfect items into their formulation have become an important and growing area of research. The contribution of Salameh and Jaber (2000) is one of the fundamental models on lot sizing when procured items are of imperfect quality. Over the past decade, there has been a noticeable amount of interest in the EOQ model for imperfect items that was set forth in Salameh and Jaber (2000). Several researchers have published adaptations and extensions of this original model that address supply chain coordination, quality improvement and yield management, and the impact of human error on production and inventory systems. In this paper, we summarize the current body of research that has extended the Salameh and Jaber (2000) EOQ model for imperfect items. Some possible future research directions are identified at the end of the paper.     

Development of a process mining system for supporting knowledge discovery in a supply chain network

In today's competitive environment, business organizations are forced to maintain their competitive advantage by their ability to cut costs, increase revenue and uncover hidden issues. In order to enhance the visibility and transparency of value added information in a supply chain network, a process mining system is proposed for discovering a set of fuzzy association rules based on the daily captured logistics operation data, within the network. The proposed methodology provides all levels of employees with the ability to enhance their knowledge and understanding of the current business environment. Once interesting association rules have been extracted, organizations can identify the root-causes of quality problems in a supply chain and improve performance by fine-tuning the configuration of process parameters in specified processes. The application of the proposed methodology in a case company has also been studied. The prototype system has been developed and evaluated after performing a spatial analysis. The results obtained indicate that the system is capable of extracting high-quality and actionable information in the case company.     

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.     

Strategic safety stock placement in supply chain design with due-date based demand

We present a strategic safety stock placement model in supply chain design for assembly-type product with due-date based demand, where demand data are based on dates when company has to ship to customers rather than order receiving dates. We formulate multi-echelon stock placement by guaranteed-service model with demand propagation equations through backward explosion, where demand can be either stationary or nonstationary. The stock placement model is incorporated into network design problem and its optimization procedure is provided. We show effectiveness of the optimization procedure and other significant features of the model through numerical examples of a machinery product supply chain.     

Agility index in the supply chain

To achieve a competitive edge in the rapidly changing business environment, companies must align with suppliers and customers to streamline operations, as well as working together to achieve a level of agility beyond individual companies. Consequently, agile supply chains are the dominant competitive vehicles. Embracing agile supply chain requires asking some important questions, namely: what exactly is agility and how can it be measured? Moreover, how can agility be effectively achieved and enhanced? Due to the ambiguity of agility assessment, most measures are described subjectively using linguistic terms. Thus, this study develops a fuzzy agility index (FAI) based on agility providers using fuzzy logic. The FAI comprises attribute’ ratings and corresponding weights, and is aggregated by a fuzzy weighted average. To illustrate the efficacy of the method, this study also evaluates the supply chain agility of a Taiwanese company. This evaluation demonstrates that the method can provide analysts with more informative and reliable information for decision.     

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.     

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.     

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.     

Setting operating policies for supply hubs

This paper deals with the joint management of operations at the supply hub for the customer and the upstream supplier. Different operating conditions are considered, namely, backordering, minimum and maximum specified inventory levels. Some analytical insights on better managing suppliers operating under a vendor managed inventory program are presented. Essentially, we show that the penalty cost imposed on over- and under-stocking, and the min–max policy for hub inventory reside in the power of the hub operator. The relationship between supply hub policy and performance measures is quite complex and non-linear in nature. We suggest a structured hierarchical approach which can help supply hub in achieving balance between various parties involved in chain. A numerical example and an algorithm are included to highlight this result.