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.     

Supply chain scheduling and coordination with dual delivery modes and inventory storage cost

We study a two-echelon supply chain scheduling problem in which a manufacturer acquires supplies from an upstream supplier and processes orders from the downstream retailers. The supply chain sells a single short-life product in a single season. We consider the scenario where the manufacturer can only accept some of the orders from the retailers due to its supplier's common production time window and its own two common production and delivery time windows. The upstream supplier processes materials and delivers the semi-finished products to the manufacturer within its time window. Then the manufacturer further processes these products to produce finished products and delivers them to the retailers within its two time windows, where one window is for production and normal delivery, and the other is for production and express delivery. Having to store the materials before processing them, the supplier incurs a storage cost, which depends on the order size and storage time. The manufacturer pays the transportation cost for delivering the finished products to the retailers. Due to double marginalization, the performance of the supply chain is sub-optimal. We model the supply chain problem as a flow shop scheduling problem with multiple common time windows. We derive some dominance properties and establish some theorems that help solve the sequencing problems for the orders and eliminate the idle time among the orders. Based on these results, we develop fast pseudo-polynomial dynamic algorithms to optimally solve the problem. We prove that the problem is NP-hard in the ordinary sense only. We develop two practically relevant and robust methods for the supply chain to achieve optimal profit-making performance through channel coordination.     

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.     

Strategic Internet application trends in supply chain management

The Internet is evolving as a powerful force in the new marketplace where the nexus of competition has changed from individual firms to efficient supply chain networks both between firms and within industries. This study explores Internet adoption patterns and operational applications in US supply chain networks. The data reveal that the integration of the Internet into supply chain management applications has increased and has moved away from indiscriminate application of novel Internet technologies towards becoming a focused endeavor with precise expectations and measurable goals. Specifically, the study finds that Internet usage within supply chains is maturing as evidenced by enhanced and increased productivity, reduced costs and increased profit for participating firms.     

An autonomous multi-agent approach to supply chain event management

Organizations have made a significant effort to implement software for planning and scheduling, but disruptive event management is still a problem to be solved. Since a disruptive event can affect the overall performance of the supply chain, SCEM (Supply Chain Event Management) systems presenting different automation levels such as monitoring, alarm and decision support have been proposed. However, the management of disruptive events, taking into account the distributed nature of the supply chain, the members' autonomy and the ability to exert corrective control actions, has been identified as a problem that requires further research. This work presents an agent-based approach for the SCEM problem, which can perform autonomous corrective control actions to minimize the effect of deviations in the plan that is currently being executed. These control actions consist of a distribution of the variation between supply chain members, using the plan's slack in a collaborative way. An innovative feature of this approach is its focus on resources, which are affected by disruptive events in a direct way. Based on this approach, a SCEM system is designed as a net of control points defined on resources connected through supply process orders. Two novel aspects are the distributed collaborative inter-organizational architecture of the SCEM system and a Double Contract Net Protocol. This protocol allows a set of resource:representing agents to interact through an agent, representing a supply process order as a mediator. An application to a case study of the Multi-Agent SCEM system implemented with JADE is provided.     

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.     

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.     

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.     

Short-term financing in a cash-constrained supply chain

In this paper we consider a two-level supply chain with a single retailer and a manufacturer, where both the firms are facing financial constraints and can not produce/order their optimal quantity. Our work shows that a lender who finances the manufacturer has a motivation to finance the retailer as well. Motivated by this, we investigate lender's problem of financing both the firms by making a joint decision on the loan amount and comparing it with the case when lender makes independent decision on loan amount for both the firms. Our numerical study indicates that if one of the firms in the supply chain has sufficiently low cash, joint decision (we refer to it as supply chain financing) may be better not only for the lender but for the retailer and manufacturer as well.     

Strategic marketing in global supply chains: Four challenges

Supply chain management has emerged as a critical arena in which firms can find significant cost reduction opportunities, giving them a cost advantage over competitors. When supply chain management orientations are adopted by several firms in a supply chain, together they can significantly reduce supply chain costs pitting supply chain against supply chain. However, the pursuit of cost savings opportunities is not the only objective of supply chain management. Superior supply chain management can facilitate marketing strategy and lead to the creation of superior customer value, satisfaction, and loyalty, which in turn lead to improved product profit margins, overall firm profitability, and overall corporate growth. However, marketing strategy is problematic in global supply chains. Specifically, four significant strategic marketing challenges exist that relate to the development and execution of marketing strategy in global supply chains. This article draws attention to these challenges to stimulate managerial and research efforts that will move marketing strategy through the 21st century.     

An optimization approach for managing fresh food quality throughout the supply chain

One of the most challenging tasks in today's food industry is controlling the product quality throughout the food supply chain. In this paper, we integrate food quality in decision-making on production and distribution in a food supply chain. We provide a methodology to model food quality degradation in such a way that it can be integrated in a mixed-integer linear programming model used for production and distribution planning. The resulting model is applied in an illustrative case study, and can be used to design and operate food distribution systems, using both food quality and cost criteria.     

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.     

Supply chain risk management in financial crises—A multiple case-study approach

Supply Chain Risk Management has become a key concern for organizations, which is even further emphasized by the current economic and financial crisis. Against this background, this paper investigates successful approaches and experiences by companies in dealing with this new reality, especially as it concerns the supply side. Using in-depth case studies conducted among eight European enterprises, we develop a set of propositions about how companies manage supply risks in financial crises, highlight how their risk management approaches have shifted, and illustrate how they are related to Enterprise Risk Management. Our framework is further differentiated based on whether firms are predominantly engaged in manufacturing or services—a factor influencing how supply chain risk is managed. Transaction cost economics serves as our main theoretical anchor. By rigorously grounding our research in both theory and empirical evidence, we provide valuable insight for both academia and practice.     

The role of e-marketplaces in supply chain management

Electronic marketplaces (e-marketplaces) have a profound influence on the way in which organizations manage their supply chains. Proponents of the e-marketplace concept suggest that web-based trading systems, such as World Wide Retail Exchange (WWRE) and GlobalNetXchange (GNX), would enable companies to more efficiently buy, sell, and manage their supply chain processes on a global scale. This study investigates the extent to which e-business tools of the e-marketplace are used by channel members in the retail sector for business-to-business supply chain management (SCM). The study is based on a survey involving food service companies, retailers, and wholesalers in the UK. It is shown that the e-marketplace supply chain applications enable the majority of companies to automate transaction-based activities and procurement-related processes rather than strategic supply chain activities. The results also indicate that full participation in e-marketplaces requires companies to integrate their internal and external supply chain activities and share strategic information.     

集群供应链网络的联结模式与共治框架

集群供应链作为一类新型网络组织形式,是依托于产业集群又突破产业集群地域限制的供应链网络的集合体,集群供应链网络治理问题对集群竞争优势创造与集群持续发展有着重要作用。本文首先阐明了供应链网络与集群供应链网络的区别,进而对集群供应链网络的结构及类型进行了分析,在此基础上研究了集群供应链网络的联结模式,提出集群供应链网络共治的参与者、集群供应链网络共治框架体系及各参与主体在集群供应链共治中的作用分工,以期对集群供应链网络的治理活动起到借鉴作用。     

Supply management and e-procurement: creating value added in the supply chain

The increasing emphasis on supply chain management is creating a greater focus on the supply management link in the supply chain. This focus will become even more intense as firms continue to adopt e-procurement strategies to leverage the competitive advantages of the Internet. Supply managers need to understand the impact of technology and gain competency in making a business case for e-procurement. The implications are profound for the industrial marketer.     

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.     

Inventory control in a two-echelon dual-channel supply chain with setup of production and delivery

This paper considers a two-echelon dual-channel supply chain model with setup of production and delivery and develops a new inventory control policy for the supply chain. Previously, a two-echelon supply chain model without setup of production and delivery is considered and a one-for-one inventory control policy is applied to the supply chain. In the inventory control policy, production is stopped when the warehouse inventory reaches the upper limit and is started again immediately after the inventory drops below the limit. Moreover, delivery to the retailer is stopped when the store inventory reaches the upper limit and is started again immediately after the inventory drops below the limit. The total cost that consists of inventory holding costs and lost sales cost is considered, and setup costs are not considered in the total cost. Once setup costs are introduced, the one-for-one inventory control policy is no longer appropriate. Then, this paper develops a new control policy for the two-echelon dual-channel supply chain with setup of production and delivery. As performance measure, the total cost that consists of inventory holding costs, lost sales cost, and production and delivery setup costs is considered, and the total cost calculated on the basis of Markov analysis demonstrates the effectiveness of the proposed control policy.     

Coordinated supply chain scheduling

A mixed integer programming approach is proposed for a long-term, integrated scheduling of material manufacturing, material supply and product assembly in a customer driven supply chain. The supply chain consists of three distinct stages: manufacturer/supplier of product-specific materials (parts), producer where finished products are assembled according to customer orders and a set of customers who generate final demand for the products. The manufacturing stage consists of identical production lines in parallel and the producer stage is a flexible assembly line. The overall problem is how to coordinate manufacturing and supply of parts and assembly of products such that the total supply chain inventory holding cost and the production line start-up and parts shipping costs are minimized. A monolithic approach, where the manufacturing, supply and assembly schedules are determined simultaneously, is compared with a hierarchical approach. Numerical examples modeled after a real-world integrated scheduling in a customer driven supply chain in the electronics industry are presented and some computational results are reported.     

Non-cooperative strategies for production and shipment lot sizing in one vendor-multi-buyer system

The supply chain structure examined in this paper consists of a single vendor (or manufacturer) with multiple heterogeneous buyers (or retailers). A continuous deterministic model is presented. To satisfy buyers demands, the vendor will deliver the product in JIT shipments to each buyer. The production rate is constant and sufficient to meet the buyers’ demands. The product is shipped in discrete batches from the vendor's stock to buyers’ stocks and all shipments are realized instantaneously. Special production-replenishment policies of the vendor and the buyers are analyzed. That is, the production batch is transferred to each buyer in several sub-batches in each production distribution cycle (PDC).This paper offers game model without prices, where agents minimize individual costs. It is a non-cooperative (1+N)-person game model with agents (a single vendor and N-buyers) choosing numbers and sizes of transferred batches. The model describes inventory patterns and cost structure of PDC. It is proved that there exist Nash equilibria in several types of sub-games of the considered game.