Modified critical fractile approach for a class of partial postponement problems

This paper studies a single period partial postponement problem, which is motivated by an inventory planning problem encountered in Reebok NFL replica jersey supply chain. We consider a group of regular products each facing a random demand. There are two stocking options. One is to procure the regular products. The other is to stock a common component which can be customized later to any one of the regular products, after demand realization.We obtain an insightful interpretation of the optimality conditions for this class of problems, and use it to obtain rules of thumb that practitioners can incorporate into their inventory models to determine the stocking levels to minimize the supply chain cost. Instead of proposing a numerical procedure to obtain the optimal solution, we propose an adaptation of the classical critical fractile approach for this class of partial postponement problem. The closed-form formula obtained are surprisingly effective. Our numerical results suggest that this simple approach to inventory planning often comes close to the performance of the optimal solution obtained from numerical method.     

Sequential price and quantity decisions under supply and demand risks

Firms need to deal with not only risks from stochastic demand but also risks from supply side. The supply side risk may be due to parts/service outsourcing, third party logistics, or random yield in production processes. In this paper, we study how firms sequentially make price and quantity decisions under these two risks. The first question we try to answer is how these two risks affect the decisions and profits of the firm. We find that increased supply risk usually causes increased quantity/stocking decision, however, there exists a threshold level of supply risk above which the firm reduces quantity/stocking amount as supply risk increases. This observation may be used in a supply chain setting, where reduction of the supply risk can cause higher delivered quantity and improve supply chain performance. This observation also provides support and insights on prioritizing the risk reduction efforts from marketing and operations to achieve better coordination. At the same time, reduction of the risks help not only firms but also consumers as the optimal price decreases. To further improve decision making process under both uncertainties, we study the impact from information revelation and postponement of decisions. We compare results from different sequential decision making cases. As illustrated in the paper, firms gain competing advantage when decision postponement is available and this advantage becomes further significant as the risks increase. Our numerical examples also indicate that price postponement strategy is usually preferred but the relative profit difference between price postponement and quantity postponement become smaller as consumers become more sensitive to the price.     

Integrated safety stock optimization for multiple sourced stockpoints facing variable demand and lead time

The safety stock placement problem of a multi-stage supply chain comprising multiple sourced stockpoints is addressed in this paper. Each stockpoint faces variability in its downstream demand and suppliers' lead time. The maximum among these suppliers' lead time is determined by employing concepts of order statistics. It is required to find the fill rate and safety stocks at each stockpoint that leads to satisfying the end customer service level at minimum safety stock placement cost. Hence, the fill rates and the safety amounts are decided from a global supply chain perspective. Two models are proposed; a decentralized safety stock placement model and a centralized consolidation model. The decentralized model finds the safety amounts at each stockpoint required to face its underlying lead time demand variability. The consolidation model finds the consolidated safety amounts that will be kept in the relevant consolidation center at each stage. A Benders decomposition technique is developed to handle the nonlinearity and binary restrictions involved in the safety stock consolidation model. Strategies proposed by the consolidation model achieve 45.2-62% reduction in safety amounts that results in a cost savings ranging between 22.2-44.2% as compared to the strategies proposed by the decentralized model.     

Return, Risk and Cost of Equity for Stock S&L Firms: Theory and Empirical Results

This study examines the current deregulated environment for and the financial position of savings and loan associations. It is argued that in a less regulated, more competitive environment managers of savings and loan associations will have to become more proficient in using financial management techniques to assure the survival and the return to profitability of their associations. One aspect of financial management is a more careful estimation of and use of the cost of equity capital, especially for the increasing number of associations that have converted from mutual to stock organizations. Different approaches to the estimation of the cost of equity capital are discussed and monthly stock prices of 35 stock savings and loan associations are used to estimate representative costs of equity capital.     

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.     

Time-driven activity-based costing for health care provider supply chains

ABSTRACT

Health care providers currently operate in an environment of complex supply chains and increasing costs where approximately one third of hospital operating expenses are related to supplies. It is pertinent that health care providers have a clear understanding of their supply chain process costs. Knowing how these costs are driven and where opportunities for cost reduction exist can support health care provider supply chain (HPSC) efficiency. In this article, we present a time-driven activity-based costing (TDABC) supply chain cost methodology for health care providers. A TDABC management system can provide health care providers with valuable product and process supply chain cost information by investigating logistics activities, resource consumption, and time drivers. Our HPSC TDABC methodology is demonstrated in a case study conducted for the supply chain department of a 200-bed, not-for-profit hospital.     

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.     

Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruptions

This paper develops a coordination mechanism for a supply chain consisting of one manufacturer and n Cournot competing retailers when the production cost and demands are simultaneously disrupted. This differs from traditional supply chain coordination models under a static case and the case with only demand or cost disruption. The coordination mechanism with revenue sharing is considered, and the effects of production cost and demand disruptions on revenue sharing contract are discussed to investigate the optimal strategies of players with disruptions. The penalty cost is introduced explicitly to obtain the production deviation cost caused by the disruptions. In this study, it is obtained that the coordination contract considering the production deviation cost differs from that without disruption. Besides that, the disruptions may affect the order quantities, wholesale prices as well as revenue sharing contract. Then, the optimal strategies for different disruption levels under the centralized decision-making mode are proposed. Concerning the decentralized mode, the improved revenue sharing contract can be used to coordinate the decentralized decision-making supply chain effectively. Finally, the theoretical results are illustrated by conducting some numerical examples.     

Latecomer cost handicap in satellite communications

This article offers an overview of equity and efficiency in the management of global spectrum resources. It identifies latecomer cost handicaps and outlines a methodology to assess these costs empirically. The paper also considers the degree to which free-rider benefits offset any handicaps. Finally, eight possible arrangements are identified through which latecomer cost handicaps could be avoided or offset.     

The selected determinants of manufacturing postponement within supply chain context: An international study

Modern supply chains focus on an ultimate consumer satisfaction and often require essential dynamic reconfiguration. Manufacturing companies constitute important central nodes in supply chains, where almost all physical flows are concentrated.Postponement is the operating concept, which aims at delaying activities until a customer’s order has been received. The growth of interest in the postponement concept partially results from the increased demand for customized products.Data for the analysis has been collected through the survey carried out by researchers in several countries. The main research instrument used for this research was a questionnaire developed by the Global Manufacturing Research Group (GMRG). The conclusions formulated on the basis of data analysis proved that market and demand characteristics do not seem to be important for the choice between postponement and speculation strategy. The research showed that assembly postponement depends mostly on managerial decisions about the goals of company and the level of acceptance of an assembly postponement strategy on the market. Full postponement strategy is dictated mainly by the level of product customization and capacities of manufacturing and logistics systems. Production postponement has to be accepted on the market and should be associated with excellent forecasting techniques.     

Sourcing in the global aerospace supply chain using online reverse auctions

This article discusses the use of online reverse auctions to source engineered components in global aerospace supply chains using online reverse auctions and examines the specific case where a long-established U.S. economic cluster supporting large tier-one aerospace companies must compete against globally distributed sources of supply favored by their customers due to unit price savings, principally the result of lower wages. The article also examines if global sourcing practices based on power-based bargaining is an intelligent or effective solution to market pressure demanding lower prices, or whether collaborative problem solving and the creation of knowledge-sharing networks offers greater potential for cost savings and improved long-term supply chain competitiveness. Key factors that contributed to the recent failure of global sourcing initiatives using online reverse auctions are presented. Findings can be generalized to other industries that use online reverse auctions for globally sourcing engineered components that rely on networks of supporting service suppliers to create finished goods.     

政府补贴下的三级低碳供应链减排博弈研究

本文分别构建了政府补贴下，供应链上企业单独减排、供应商对制造商碳减排成本进行分担、供应商和零售商均对制造商碳减排成本进行分担3种减排模型，求解得到不同减排模式下，包括成本分担率和单位减排量在内的供应链最优决策。研究发现，政府补贴率的提升反而使成本分担率降低。通过博弈分析及算例验证得出：在供应链上三方企业联合减排下，即供应商和零售商都对制造商的碳减排研发提供资金支持时，单位产品的减排量及各企业利润达到最大，仅供应商对制造商碳减排成本分担时次之， 供应链上企业单独减排时最小， 但仅供应商一方对制造商的碳减排成本进行分担时的成本分担率，比其与零售商同时分担时的要大。这些结论为政府确立合适的补贴方案及供应链上企业减排策略的制定提供了理论依据。     

西部地区成品油合理库存探讨

针对西部地区成品油库存管理,在保障市场稳定供应的前提下,为提升成品油库周转效率,降低库存成本占用及库存油品跌价风险,本文按照油库类型、运输方式、订货周期分类,利用不确定性库存管理模型,有效测算西部地区零售(省区公司)、批发企业(大区公司)油库的合理库存;同时考虑西部地区固有的季节性产销因素,按照成品油库存淡储旺销调剂模式,确定包含季节因素的西部地区整体合理库存.测算结果与实际情况符合较好,可以有效指导销售企业进行实际库存管理.此外,文章还对西部地区合理库存测算的影响因素进行了分析,指出了改进的方向.     

The socioeconomic feasibility of greening rail stations: a case study in lisbon

Green roofs and living walls are considered effective solutions for improving the environmental integrity of urbanized areas and the overall performance of buildings. Proposals are emerging not just for buildings but also for existing transport infrastructures that have needs/problems that can be met or addressed by such solutions. However, the economic feasibility of such sustainable solutions has not yet been clarified. This study presents a methodological approach to performing cost–benefit analyses of greening urban transport infrastructures at the separate financial, economic, and socioenvironmental levels. Infrastructure, user, and environmental dimensions are also assessed. Whole life cycle costs and socioenvironmental benefits are considered together. The methodology is applied to one of the main stations in Lisbon, Portugal: Entrecampos Railway Station. Five different case study alternatives for the station’s retrofit with green infrastructures are compared to its current situation. The cost–benefit analysis demonstrated that all five greening alternatives are economically feasible. For a 50-year life cycle and a 3.36% discount rate, the net present value ranged between EUR 734,700 and EUR 7,733,279. A sensitivity analysis was also performed, revealing a high degree of influence of discount and inflation rates, recreation, aesthetics improvement, well-being, and the station noise reduction on the net present value, ranging from 1.5 to 9%.     

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.     

Impact of RFID information-sharing strategies on a decentralized supply chain with reverse logistics operations

The integration of environmental practices in a supply chain has been study for the past few decades. However, most of the work relies on centralized decisions made by one player. Few papers address the complex dynamics of environmental decentralized supply chains and how these dynamics can affect environmental and economic outcomes. To study this problem, we consider a supply chain with a manufacturer and two different suppliers: a recycled-material and a raw-material supplier. The players make individual inventory decisions to satisfy demand and reduce cost. Further, this supply chain encompasses stochastic elements such as in demands, returns, and collection leadtimes. These decentralized decisions and random factors can cause underperforming results; therefore, new inventory models and technologies are needed to help companies increase coordination within these systems. We model the implementation of Radio Frequency Identification (RFID) in the supply chain to determine if real-time inventory monitoring and information sharing can help the system attain higher environmental benefits (more returns) and higher economic benefits (less cost). We study two scenarios through a simulation-based analysis: No RFID and RFID. Numerical studies show that environmental benefits are significantly increased with the attainment of more returns. However, although economic benefits are realized, they are less significant than the environmental benefits. Further regression and sensitivity analyses on the cost performance measures reveal that economic benefits depend on several drivers inside the system. We present managerial insights that illustrate what configurations within this complex system can lead to the achieving of environmental as well as economic benefits.     

Robust supply base management: Determining the optimal number of suppliers utilized by contractors

The importance of robust supply base management under demand uncertainty requires an understanding of the benefits associated with a contractor having an optimal number of suppliers. The key benefit is a reduction in a contractor's total cost of supply base management. However, few supplier-optimizing models incorporate the perspectives of both demand uncertainty and supply base management costs. The objective of this paper is twofold: (1) to investigate the dynamics between demand uncertainty and coordination; and (2) to develop a model that determines the optimal number of suppliers that a contractor should maintain in its supply base to become more flexible and maximize its profits.     

Motives behind purchasing consortia

Although purchasing cooperation between independent companies has been practiced for a long time, the phenomenon is not extensively researched. Especially purchasing consortiums formed by industrial companies have received relatively little attention in literature of the discipline. In this paper the key results of the larger study concerning industrial consortium purchasing are presented: the study was recently conducted and tested in Finnish machine manufacturing industry. The objective of this paper is to find out the motives behind purchasing consortia. As foundations for the empirical study, three theories explaining why companies form purchasing consortia are presented. The results of the study indicate that two main reasons for the companies to cooperate on purchasing are the expected cost savings and the collection of information on supply markets.     

Bereitstellung von Regelleistung durch Elektrofahrzeuge: Modellrechnungen für Deutschland im Jahr 2035

The German government has set ambitious goals for both the expansion of renewable energy supply and electromobility. According to its Energiewende policy, electricity supply from fluctuating renewables is supposed to further increase considerably. This will tend to require a greater provision of balancing reserves. At the same time, supply from conventional dispatchable plants, which used to provide the bulk of reserves, will decrease. Against this background, this article analyzes the scope for an assumed fleet of 4.4 million electric vehicles to supply balancing reserves in 2035. Examining two different future power plant scenarios, it explores the potentials of reserve provision with and without the option of feeding electricity from vehicle batteries back to the grid. Results from an extended open-source power system simulation model show that the assumed vehicle fleet can efficiently provide a substantial share of reserve requirements, also in case the vehicle-to-grid option is not available. Arbitrage on wholesale markets, on the other hand, is negligible under basic assumptions. Likewise, total system cost savings are minor when compared to a pure cost-optimal loading of vehicle batteries. Under alternative assumptions on the future power plant portfolio as well as on battery degradation costs, however, wholesale arbitrage, reserve provision, and system cost savings can be substantial.     

Cost reductions or reputation enhancement as motives for mergers: The logic of multihospital systems

This paper examines two motives for the formation of local multihospital systems: cost reduction and reputation enhancement. Systems may reduce costs by eliminating redundancies and reducing administrative costs. Integration may also lower costs for consumers seeking consistently high qualiiy. We hypothesize that if systems achieve either cost or reputation benefits, then member hospitals will ‘look’ different from random collections of hospitals. We find that local systems do not appear to have lower costs but do appear to enjoy reputation benefits over nonsystem hospitals. Our findings challenge the assumptions behind popular health reform initiatives.