Supplier selection-order allocation: A two-stage multiple criteria dynamic programming approach

This paper proposes a two-stage multiple criteria dynamic programming approach for two of the most critical tasks in supply chain management, namely, supplier selection and order allocation. In the first stage, to address multiple decision criteria in supplier ranking, the analytic hierarchy process (AHP) is employed. In the second stage, supplier ranks are fed into an order allocation model that aims at maximizing a utility function for the firm as well as minimizing the total supply chain costs, subject to constraints on demand, capacity, and inventory levels. A dynamic programming approach is crafted to solve the proposed bi-objective model.     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

基于改进TOPSIS法的供应商选择模型研究

为有效地帮助企业快速找到合适的供应商合作伙伴,采用直觉模糊集、评分函数等方法对TOPSIS评估法进行优化,并以此为基础建立了一种供应商选择模型。首先,采集和评估供应商的产品质量、产品价格、产品交货的可靠性、供应位置、财务情况、库存水平、劳资关系、发展能力和技术能力等相关信息,由专家给出主观评估信息,汇总为综合属性值;然后,通过直觉模糊熵确定各评估指标的权重;最后,综合考虑供应商选择决策过程中的多个目标和标准,应用改进TOPSIS法的对供应商进行分类选择。结果显示,基于改进TOPSIS法的供应商选择模型能够较准确地反映出各供应商的真实水平和对企业的潜在价值,可以有效地解决不确定条件下对供应商的选择问题,提高了供应商选择结果的可靠性。改进后的模型简便易行,具有良好的稳定性,对于合理制定企业供应商选择标准以及进一步优化决策模型具有一定的借鉴意义。     

Competitive pricing decisions in a two-echelon supply chain with horizontal and vertical competition

This study investigates the pricing decisions in a non-cooperative supply chain that consists of two retailers and one common supplier. The retailers order from the common supplier and compete in the same market. We analyze six power structures that characterize exclusively horizontal competition between the retailers and vertical competition between the supplier and the retailers, leading to different sequences of moves among the chain members. We derive the analytical forms of the equilibrium quantities under each power structure and explore the effect of retail substitutability on the equilibrium quantities among all power structures. We further investigate the performances of the game models as compared with the integrated model.     

Supply contract with options

The purpose of this paper is to analyze the impact of an option contract for two companies of a supply chain: retailer and supplier. With an option contract the retailer orders a quantity of units and has the right to modify his order if necessary. A model to calculate the performance of an option contract in terms of contract value for the two companies engaged is presented. The two considered cases are multiple suppliers and one retailer, and one supplier and one retailer. The performance improvement obtained using this kind of contract is compared by simulation.     

The role of trust and relationship structure in improving supply chain responsiveness

In order to reduce cycle times between supply chain entities, managers must work to create new relational forms that rely on trust to a greater extent. We present a model suggesting that to build relationships based on trust, suppliers must invest in site-specific and human assets, and buyers must judiciously apply contracts to control for relative levels of dependence within the relationship. Our model also suggests that buyer-dependence, supplier human asset investments, and trust are all positively associated with improved supply chain responsiveness, defined in this study as the supplier's ability to quickly respond to the buying party's needs. This model is tested with data gathered from a sample of purchasing managers in North American manufacturing firms. The results suggest that even in cases when buyers do not have a great deal of control over their suppliers, working to build trust within the relationship can improve supplier responsiveness.     

Enhancing the business-to-business supply chain: Insights from partitioning the supply-side

A market orientation has long been established as the key to success in supply chain management. A central concept of this orientation is market segmentation. The concept of market segmentation, however, has primarily been focused on the demand side of the supply chain; its potential application on the supply side has not thoroughly been addressed. This paper extends the purview of the concept behind segmentation by presenting the concept of “supply-side partitioning” to refer to the management of heterogeneities on the supplier side of the supply chain. Further, the concept of “transvectional alignment” is proposed for the purpose of simultaneously aligning market segments with appropriate suppliers at all levels of the supply chain by identifying, evaluating, and selecting supply groups that satisfy the demand function(s) of each segment. This paper discusses supply-side partitioning, includes a model for the supply chain utilizing transvectional alignment, and offers implications for the application of supply-side partitioning in the business-to-business marketspace.     

Product quality selection: Contractual agreements and supplier competition in an assemble-to-order environment

We consider a multi-supplier, single-manufacturer supply chain where each supplier sells a different component at varying quality levels. The manufacturer has to decide on which quality level to choose for each component, trading-off the total cost and total quality. Each supplier decides on a price per unit quality level for its component. We characterize the strategic interaction among the suppliers and analyze the inefficiencies. We find that the inefficiencies due to such quality competition can be quite significant. We then propose and analyze several mechanisms, such as quality-price schedules and revenue sharing, that restore efficiency.     

The role of supplier performance evaluations in mitigating risk: Assessing evaluation processes and behaviors

Given the level of outsourcing, supplier performance evaluation (SPE) is a critical supply chain process. SPEs are used to record supplier performance levels to inform future supplier selections, and thus mitigate the risk of adverse selection. Numerous weaknesses associated with industrial buyers' collection and use of supplier performance information call SPE effectiveness into question. The risk-related factors affecting SPE effectiveness have not been empirically explored, including misuses of the tool. This research identifies the factors affecting SPE risk mitigation effectiveness. It employs a mixed method of qualitative interviews of buyers and suppliers in order to develop a model of SPE risk mitigation effectiveness using structural equations modeling of survey data from a rare sample of 131 performance assessors. Findings implicate the importance of a thoroughly defined scope of work, an accurate SPE, and documented rating justifications. Additionally, dissonance among several performance evaluators and the fear of a supplier's dispute detract from SPE risk mitigation effectiveness. Finally, this research unveils how SPEs are weaponized, pursuing short-term gains and clouding the view of the supplier's performance thereby hindering the long-term, risk-mitigating purpose of SPEs. Two separate forms of opportunism - threat and debt - are discovered and have differing effects.     

System supplier's customer strategy

The article addresses the management of dynamic customer relationships in large-scale, complex system business. It combines the existing knowledge on system business, high-tech services and buyer-seller relationships with an international multiple case study. As a result, we produce a framework model, which provides the answers to the following critical questions: What are the key activities through which a system supplier provides value for the customer? What are the system supplier's roles for the customer? How does the customer's strategy and capabilities influence the customer's need for the supplier's activities and its evaluation of potential suppliers? And, how does the stage of the supplier-customer relationship and the system's technology cycle influence the customer's perceived need for the supplier's activities? In sum, the framework model provides a major theoretical contribution to more profoundly understand and manage complex system supplier-customer relationships.