Efficient location of industrial activity cells in a global supply chain

Inefficient locations for production, distribution and reverse logistics plants will result in excess costs no matter how well material requirements planning (MRP), inventory control, distribution and information sharing decisions are optimized. In this paper we study ways in which aspect of activity cell location decisions can be analyzed within an extended MRP model. This model has previously been extended by including distribution and reverse logistics components in a compact form, presented in Grubbström et al. (2007). Our aim is to demonstrate the basic differences between an approach to location problems with MRP “under the same roof” as the global supply chain, in which transportation time delays and direct transportation costs have substantial influence. We discuss possibilities of how to present location aspects in the supply chain model obtained from combining input–output analysis and Laplace transforms in four sub-systems, namely manufacturing, distribution, consumption and reverse logistics, and show how the transportation costs and lead time influenced by the location of all these activities affect the resulting net present value (NPV). Our aim is to build a model supporting decisions concerning the structure of a supply chain as an alternative to a mixed integer programming formulation. The model developed is based on the use of continuous functions describing spatial distributions of cost and customer demand. Continuous functions are embedded in the MRP extension previously introduced in Grubbström et al. (2007).Location decisions influence (i) production costs, because timing influences the cost of activities involved in creating a product, cf. (Grubbström and Bogataj, submitted for publication), and (ii) logistics costs, which refer to the procurement and physical transmission of materials through the supply chain. In this current paper we wish to combine both of these aspects into a comprehensive model, where we show the interaction between the “space of flows” and the “space of places” as Giovanni Arrighi distinguishes one from the other in his book The Long Twentieth Century.     

Lean Launch: Managing Product Introduction Risk Through Response-Based Logistics

New product launch research has identified four strategic issues that involve activities essential to introduce a new product to its target market. The sum of these decisions is critical to new product success. Substantial research has focused on decisions guiding the proper product, price, and promotion mix to favorably impact market goals. Considerably less research has centered on determining how place capabilities such as logistics and supply chain relationships impact launch performance. Logistics and supply chain collaboration—the processes involved in planning, implementing, and controlling the efficient, effective flow and storage of goods, services, and related information from the point of origin to point of consumption for the purpose of conforming to customer requirements—can greatly reduce risk associated with new product launch. They combine to provide a structure to facilitate rapid response to developing demand by location and intensity. In this article, an effort is made to fill the gap in extant knowledge regarding new product launch strategies by reviewing relevant literature and comparing traditional launch strategies based on anticipatory demand forecasts with alternative lean launch strategies based on the principles of response-based logistics. The result is a lean launch model for continued empirical testing and managerial review. The article contrasts traditional logistics support of new product launch with an emerging logic called lean launch strategy. The traditional launch strategy is forecast driven and is based on anticipatory logistics (push). The lean launch strategy is formulated on principles of postponement and is based on response-based logistics (pull) and supply chain management. Response-based logistics systems provide flexibility that enables better management of inventory levels. Improved replenishment times and in-stock availability of products from a centralized inventory allows managers to rapidly react to actual demand. Lean launch enhances successful introduction by allowing greater flexibility in product variant selection while minimizing out-of-stock potential. Lean launch also can cut losses in product launch failures by reducing launch inventory exposure. Finally, lean launch can improve chances of new product success by helping limited volume technical successes achieve profitability.     

Assessing the impact of cost optimization based on infrastructure modelling on CO2 emissions

Traditionally, logistics design is driven by a need to reduce costs and improve customer service. Recently, the environmental concerns from transport have been increasingly discussed. The traffic levels and associated energy consumption are influenced by supply chain structure, modal split and vehicle utilization. This paper aims to assess the impact of the traditional cost optimization approach to strategic modelling on overall logistics costs and CO₂ emissions by taking into account the supply chain structure (number of depots) and different freight vehicle utilization ratios (90%, 75% and 60%). The simulation model, based on a European case study from the automotive industry, considers strategic and operational level decisions simultaneously. The analysis shows that the optimum design based on costs does not necessary equate to an optimum solution for CO₂ emissions, therefore there is a need to address economical and environmental objectives explicitly as part of the logistics design.     

Assessing the relational benefits of logistics services perceived by manufacturers in supply chain

The growing importance of logistics activities that span the boundaries of supply chain firms has put an emphasis on supply chain relationship management. Based on the existing marketing concept on relational benefits and the supply chain management literature on consumer satisfaction, this research evaluates logistics service performance from the eyes of manufacturers. Using data collected from US manufacturing firms, the study has identified the factors that influence manufacturer's satisfaction, as well as the key to understanding the benefits-satisfaction-loyalty triads in supply chain relationships. The contribution of the paper includes developing a conceptual model, adding new theoretical insights into benefits-satisfaction-loyalty triad that has been applied by manufacturers and LSPs, and providing some meaningful perspective on how to strategically assess the use of logistics providers so as to transform a logistics firm from a tactical service provider to a hand-in-glove strategic partner.     

低碳经济下考虑满意度的冷链路径优化

为了在降低冷链物流配送成本的同时,保证顾客满意度和碳排放成本达到企业的要求。充分考虑客户软时间窗约束、行驶距离、生鲜变质等多重影响因素,构建考虑顾客满意度的低碳冷链物流路径优化模型,结合固定成本、碳排放成本、损坏成本、冷藏成本、运输成本以及时间窗成本,采用遗传算法进行求解,并应用实例加以验证。结果表明,相对于不考虑满意度的路径优化,以总成本为目标的冷链物流路径优化,能够平均减少23 km的运输距离和降低2.72%的配送总成本;同时结果也更优于以低碳为目标的求解。模型在提高顾客满意度的同时,实现了降低配送总成本以及减少物流活动中碳排放的目标。因此,研究为物流运输企业提高服务质量和经济效益提供了有效的技术路线,结果可为冷链物流行业的服务能力提升以及低碳转型发展提供启示,为物流行业的可持续发展研究提供理论参考。     

Demand chain management-integrating marketing and supply chain management

This paper endorses demand chain management as a new business model aimed at creating value in today's marketplace, and combining the strengths of marketing and supply chain competencies. Demand chain design is based on a thorough market understanding and has to be managed in such a way as to effectively meet differing customer needs. Based on a literature review as well as the findings from a co-development workshop and focus group discussions with marketing and supply chain professionals, a conceptual foundation for demand chain management is proposed. Demand chain management involves (1) managing the integration between demand and supply processes; (2) managing the structure between the integrated processes and customer segments and (3) managing the working relationships between marketing and supply chain management. Propositions for the role of marketing within demand chain management and implications for further research in marketing are derived.     

基于连锁零售企业退货管理的供应链协调机制研究

在对连锁零售企业退货物流网络结构进行分析的基础上,建立了与价格相关的随机需求下存在顾客退货和允许库存结转的单一供应商、单一连锁零售企业、单一产品的供应链模型。根据供应链一体化模式下得到的相关决策变量的一阶条件,论证基于回馈和惩罚的批发价格契约能够实现供应链的协调。研究表明,在给定回馈和惩罚因子的前提下,供应商可以通过调整目标订购数量来实现供应链整体利润的任意分配,并且当目标订购数量和回馈惩罚因子满足一定条件时,供应链的协调才是有效的,从而为连锁零售企业的退货物流管理提供了重要的理论依据。     

Performance-based strategic resource allocation in supply networks

One driving force behind continued logistics planning research is firms’ need to maintain competitive performance and efficient resource allocation. Operations research has been instrumental in advancing logistics planning research particularly in the petroleum industry. The impact and potential of incorporating performance imperatives however, have been largely unaddressed while the problem's general complexity has grown. This paper focuses on performance planning through resource allocation in supply networks by developing a profit-maximizing network model for distribution planning, and explicitly incorporating order performance criteria for distribution centers and delivery vehicles. The approach has been tested on forty realistic-sized problems, and tradeoff models provide insight and guidelines for assessing the interaction among expected profits, customer service, and operational efficiency for resource acquisition and redistribution. Managerial implications are also provided.     

随机需求下横向并购供应链网络整合优化策略研究

本文从系统优化视角,针对增设集散中心的横向并购供应链网络整合策略,利用变分不等式建立了随机需求下的整合优化模型。以市场链为主线,以供应链网络均衡理论为基 础,构建了以横向并购供应链网络活动总成本最小为目标的数学模型,通过转换成变分不等式采用改进的欧拉算法进行模型求解。通过数值算例进一步说明了模型的适用性和灵活性,得出了增设集散中心的并购整合策略能够降低供应链网络的平均运营成本的结论,通过对比不同市场紧密程度下产生的供应链网络平均成本协同效应,发现随着市场紧密程度的增加其协同效应更明显,为横向并购供应链网络整合优化提供理论依据与方法。     

Identifying the Key Success Factors in New Product Launch

Effective product launch is a key driver of top performance, and launch is often the single costliest step in new product development. Despite its importance, costs, and risks, product launch has been relatively underresearched in the product literature. We reviewed the extant literature on product launch to identify the most critical strategic, tactical, and information-gathering activities influencing the launch success. We then used a retrospective methodology to gather managerial perceptions regarding launch activities pertaining to a recent new product launch, and the product's performance in terms of profitability, market share, and relative sales. A mail survey of PDMA practitioners elicited data on nearly 200 recent product launches. Successful launches were found to be related to perceived superior skills in marketing research, sales force, distribution, promotion, R&D, and engineering. Having cross-functional teams making key marketing and manufacturing decisions, and getting logistics involved early in planning, were strategic activities that were strongly related to successful launches. Several tactical activities were related to successful launches: high quality of selling effort, advertising, and technical support; good launch management and good management of support programs; and excellent launch timing relative to customers and competitors. Furthermore, information-gathering activities of all kinds (market testing, customer feedback, advertising testing, etc.) were very important to successful launches. We conclude with observations about current product launch practice and with recommendations to management. Logistics plays a key role in successful strategy development and should receive the requisite amount of managerial attention. In particular, activities involving logistics personnel in strategy development showed much room for improvement. We also find that the timing of the launch (i.e., when the launch is conducted from the point of view of the company, the competition, and the customer) is just as important as whether the activities are performed. More managerial attention should be devoted to launch timing with respect to all of these viewpoints in order to improve the chances of success.     

Improving global spare parts distribution chain performance through part categorization: A case study

Spare parts inventory management is a complex problem and in most cases part categorization is needed to create a manageable number of control groups to focus management efforts more effectively. Usually multi-dimensional or multi-criteria classifications are used, and there are several examples of classification schemes available in the literature. The complexity increases even more when taking into consideration that a distribution chain consists of many parties. Thus, in addition to internal inventory control factors, external factors such as supplier performance, customer behavior and related demand patterns affect the controllability of the various parts.In the paper we try to expand existing classification schemes that cover only one part of the supply chain into a decision tool covering three sides of the chain: the company's distribution center with its internal processes, supplier with supply processes and customer with demand processes. The complexity that is created by the expanded view is reduced by considering two separate links: demand link and supply link. At first the links are analyzed separately considering the most relevant factors of each one and afterwards they are combined into a categorization matrix to classify the parts.The categorization scheme is tested in a large international company for improving its spare parts distribution chain performance. In the case company's demand link, part value and demand variability were used as the factors to create seven categories. In supply link, three categories are created by using availability risk of the material as the categorizing factor. The spare parts distribution chain performance is analyzed with service performance and stock-out cost key performance indicators before and after improvement actions. Finally, it is discussed how widely the insights from the case experience can be generalized towards developing a generic management tool for such a complex situation.     

物流云服务下动态设施选址问题研究

基于云计算的物流云服务平台利用云中的资源,可以实现供应链上资源的优化组合,进而改变了供应链节点间的服务映射关系,真正实现节点间的"多对多"映射,从而一定程度上改变动态设施选址的模式。在物流云服务环境下研究动态选址问题,结合云服务环境下"多对多"映射关系的特性,以动态P中值选址为例,提出了一种新的基于云服务的动态选址模型,并结合具体算例,运用Cplex求解,证明在物流云服务环境下,可以明显降低选址总成本,同时增加供应链的服务柔性。     

Stability of perishable goods in cold logistic chains

We consider that production and logistics facilities in the supply chain are positioned between the origin and the supply market or in a part of it. Any changes in time-distance or temperature in the chain could cause the net present value of the activities and their added value in the supply chain to be perturbed. In reality the perturbations can be robust. The natural question arises is to what are the effects of some perturbations in a supply chain, in its production or distribution part, on the stability of perishable goods in such systems and what is the appropriate control which keeps the product on the required level of quality and quantity at the final delivery. These analyses are especially important to assure the stability of cold chains in the cold chains management (CCM). What conditions should be fulfilled to assure that after such robust perturbations of parameters and especially time delays (lead times and some other delays) the behaviour of the logistics chain would still be within the prescribed limits. The formulation obtained in the time domain will be compared with the formulation in the frequency space introduced by Grubbström in his paper “On the Application of the Laplace Transform to Certain Economic Problems” (Manage. Sci. (7) (1967) 558) and with the later studies of his school. Their model was extended by the authors to the complete logistic chain, where location — and with it also the distance between the activity cells of logistic chain — play an important role.     

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.     

Outsourcing reverse logistics of high-tech manufacturing firms by using a systematic decision-making approach: TFT-LCD sector in Taiwan

Reverse logistics are increasingly crucial for the supply chain strategy of global high-tech manufacturing firms. As reverse logistics operations are significantly more complex than traditional manufacturing supply chains, many high-tech manufacturers are examining the feasibility of outsourcing reverse logistics activities to third party logistics providers (3PLs) from a strategic planning perspective. Internal resources and capabilities are thus examined from a resource-based perspective to identify which reverse logistics service requirements could be fulfilled in-house or outsourced. Therefore, this work presents a systematic approach using the analytical network process (ANP) not only to investigate the relative importance of reverse logistics service requirements, but also to select an appropriate 3PL. Empirical results based on the case of the TFT-LCD sector in Taiwan indicate that information technology management is of priority concern in reverse logistics services. In addition to providing a valuable reference for manufacturers concerned with service requirements for outsourcing, results of this study significantly contribute to the efforts of 3PLs in evaluating whether they comply with potential customer requirements based on their service capabilities.     

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.     

Supply network capacity planning for semiconductor manufacturing with uncertain demand and correlation in demand considerations

A semiconductor supply network involves many expensive steps, which have to be executed to serve global markets. The complexity of global capacity planning combined with the large capital expenditures to increase factory capacity makes it important to incorporate optimization methodologies for cost reduction and long-term planning. The typical view of a semiconductor supply network consists of layers for wafer fab, sort, assembly, test and demand centers. We present a two-stage stochastic integer-programming formulation to model a semiconductor supply network. The model makes strategic capacity decisions, (i.e., build factories or outsource) while accounting for the uncertainties in demand for multiple products. We use the model not only to analyze how variability in demand affects the make/buy decisions but also to investigate how the correlation between demands of different products affects these strategic decisions. Finally, we demonstrate the value of incorporating demand uncertainty into a decision-making scheme.     

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.     

Case Study: Solving a Rental Fleet Sizing Model with a Large Time–Space Network

This article addresses a rental fleet sizing problem (RFS) in the context of the truck rental industry, subject to uncertain customer travel time and nonstationary customer demand that is dependent on geographical location, time, and the economic cycle of the industry. We integrate tactical (asset purchases and sales) and operational (empty truck movement and vehicle assignment) decisions, with the explicit incorporation of an asset age factor, to achieve lower cost solutions. Typically, the length of time horizon and number of locations under consideration are quite large, which makes the RFS model computationally challenging to solve. Aggregation procedures are employed for location clustering and end-of-horizon effects are examined through demand scenario-based analyses. For the reduced time–space networks, decision analyses are conducted for the RFS model to provide insights into the truck rental business regarding asset movement decisions and asset procurement/disposal decisions over time and locations.     

Launch Strategy, Launch Tactics, and Demand Outcomes

In a typical new product development process, the role of the launch stage is to maximize the chances of profitably achieving acceptance in the target market. A launch plan can include strategic decisions (such as relative innovativeness, mass versus niche targeting, and lead versus follow) as well as tactical decisions (including the types of communication and distribution activities to emphasize, introductory pricing, branding, and when to announce new items and delete old ones). Unfortunately, the existing literature offers limited decision-making guidance to managers on how to prioritize and integrate the various strategic and tactical options. This article presents a conceptual framework that suggests that the strategic and tactical challenges posed in various product launch situations depend in large measure on the specific type of buying behavior to be influenced. Depending on the degree of product innovativeness, managers may establish one of three types of desired demand outcomes: (1) trial and repurchase, (2) customer migration, or (3) innovation adoption and diffusion. The degree to which the desired demand outcome is realized is shown to be dependent on buyers' perceptions of the new product's relative advantage and of its compatibility with buyers' values and experiences. Perceptions of the product on these two characteristics are initially influenced by the launch strategy. Given an understanding of these perceptions, managers can then select launch tactics designed to clarify or leverage relative advantages or to demonstrate or enhance compatibility to the target market. The framework also demonstrates how the linkages among launch strategy, launch tactics, and the demand outcomes are impacted by the product-market environment, the technological dynamics of the industry, and the firm's resources and capabilities. The author argues that, by examining a given launch situation in the context of this framework, managers will be able to think more systematically about the strategy and tactics required for market acceptance.