Interval-valued availability framework for supplier selection based on component importance

The availability of ageing systems, particularly weapon systems within the Department of Defense, is of significant concern, as budgets tighten and system replacement is infeasible. This work addresses the selection of sole suppliers according to their ability to provide component parts that strengthen availability of the system. We extend a popular multi-criteria decision-making approach, Technique for Order Preferences by Similarity to an Ideal Solution, by (i) considering the availability of individual components as the criteria in the decision problem and (ii) weighting those criteria according to the value of component importance measures while (iii) accounting for uncertainty in underlying reliability and maintainability parameters with interval numbers. An aircraft example illustrates the approach.     

A review on the buyer–supplier dyad relationships in sustainable procurement context: past,present and future

Sustainable development is currently being applied in most fields of research. Procurement, focused on the buyer–supplier dyad, is one such discipline where sustainability is being widely applied. This paper provides a review of these research studies, conducting a systematic content analysis in order to present the state of the art in this domain. The paper carries out a detailed review of articles in international scientific journals and well-known international conferences related to green and sustainable supplier selection published between 2008 and 2014 inclusive. Seven designed research questions are proposed and answered based on this bibliography. Interesting results are reported in each section and gaps in the current body of literature are identified. The purpose of this review is to provide important future directions and limitations in this research topic.     

Maintenance supplier selection considering life cycle costs and risks: a fuzzy goal programming approach

In this study, we address a new variant of supplier selection problem named maintenance supplier selection problem faced by a manufacturer. The production system consists of different multi-component equipments whose maintenance activities require several components (parts) each of which could be provided by multiple suppliers. A multi-objective mathematical model is developed to decide about the supply base of each part as well as the purchasing quantity of each part from each selected supplier. The model accounts for the total life cycle costs of purchased parts and various risks threatening the candidate suppliers. A fuzzy/soft lexicographic goal programming approach with soft priorities between objectives is proposed to enable the decision-maker to make preferred trade-offs between objectives by which the effects of various risks in each phase of life cycle of procured parts are investigated. The capability and effectiveness of the proposed model is validated through a case study. Some sensitivity analyses are also carried out for investigating the impact of cost, risk and objectives’ priorities on the final preferred compromise solution. Finally, some managerial insights and concluding remarks are provided.     

Models for supplier selection and risk mitigation: a holistic approach

According to a study conducted by PwC and the Business Continuity Institute in 2013, 75% of companies experience at least one major supply chain disruption a year and majority of the disruptions were caused by supply-related problems. With an increasing emphasis on upstream risk, risk management in supplier selection has become a critical issue faced by companies. Although previous studies proposed different methods and tools for effective and efficient supplier selection, only few approaches have attempted to incorporate risk mitigation strategies in supplier selection decisions. Our study aims to fill this gap by considering a wide range of quantitative and qualitative risk factors in supplier selection and evaluates the efficacy of alternative risk mitigation strategies in this context. Moreover, we suggest that both upstream and downstream strategies should be utilised simultaneously rather than relying on a single type of strategy. We further suggest that it is critical to align upstream and downstream risk mitigation strategies to reduce risk. We employ multi-objective optimization-based simulation in developing a decision model and consider data from an automotive parts manufacturer to demonstrate the application of our approach.     

基于贝叶斯方法的包装企业供应商评价与选择模型

目的建立基于贝叶斯方法的供应商选择模型。方法建立一个供应商选择动态过程,将供应商的历史信息与供应商提供的自身信息联系起来;利用贝叶斯方法对供应商达成采购企业目标的能力进行评判和修订,并进一步评估供应商风险。结果贝叶斯方法为包装企业评价和选择供应商提供了规避风险的有效手段,可以提高包装企业的竞争力。结论基于风险视角下的供应商选择与评价模型,是保证包装企业在控制供应商风险的前提下对供应商进行选择评价的重要工具。     

Supplier selection under risk of delivery failure: a decision-support model considering managers’ risk sensitivity

This paper studies the problem of supplier selection and order allocation in a retail supply chain (comprising suppliers, a central purchasing unit and outlets) under disruption risk. The final demand is deterministic. Suppliers are located in different geographic areas, and supplies are subject to a positive probability of disruption. Different capacity and failure probabilities for each supplier are considered. Our analysis focuses on the insurance versus profitability trade-off faced by a supply manager who buys from suppliers for the outlets. Instead of determining optimal decisions given an objective function and the risk sensitivity of the decision-maker, we use a mixed integer linear programming approach to provide decision-making support that shows a supply manager the ‘elasticity of (expected) losses versus (expected) profits’. Under this model, and depending on the profit-and-loss targets, a supply manager of known risk sensitivity (i.e. risk aversion and loss aversion) can make better decisions when choosing suppliers. Moreover, taking into account, the impact of the share of fixed costs that must be covered by the operation, we consider the net values of expected profit and loss. We discuss the potential influence of the level of the firm’s fixed costs on the supply strategy. In particular, we show how the minimum value of the gross margin needed for the strategy’s profitability affects that strategy. A numerical application is conducted to illustrate the contribution of our decision-making support mechanism, and several managerial insights are obtained.     

Supplier selection problem revisited from the perspective of product configuration

Collaboration with suppliers is essential for developing and producing a competitive product and it begins with selecting the right suppliers. This article addresses the supplier selection problem from the perspective of product configuration. We discuss first how the conventional decision models of supplier selection should be extended, considering the fact that supplier configuration requires supplier selection for each subsystem of a product. We then highlight the need to consider interrelationships between suppliers, namely, supplier–supplier relationships during the selection process of the combination of suppliers. Finally, we introduce the supplier configuration graph in order to provide a clear picture of the problem. Discussions are provided along with an example of a smartphone configuration.     

基于供应链管理的供应商选择问题初探

首先讨论了供应链环境下选择供应商的意义,然后建立了供应商选择的评价指标体系,重点讨论了应用TOPSIS 方法对供应商选择的模型及算法,最后用一个简单的案例进行了说明。     

循序渐进的供应商关系管理模式

企业不可能与所有的供应商都保持伙伴关系。企业供应商关系管理需要遵循一种循序渐进的模式。对于消耗量大的关键性原材料供应商,企业应该努力与其建立相互信任的伙伴关系;对于专用件、进口件等企业需求量少但是对企业最终产品质量影响大的瓶颈物资,企业应该努力寻找替代的供应商;对于标准件、办公品等需求频繁,但是每次需求的数量不大,单项产品占用资金不大的物资,企业可以寻找第三方供应商。对于需求量大的一般性原材料的供应商,企业可以公开招标,寻求物资的价格优势。     

基于数据挖掘技术在软件项目风险管理决策系统的研究

根据软件项目风险管理数据特点,提出了基于数据挖掘技术的软件项目风险管理决策系统的分层体系结构和挖掘模型。     

一体化供应链下的项目采购管理与供应商管理战略

本文针对汽车行业讨论了产品项目开发中采购管理的重要作用,根据目前项目采购中暴露出的问题,总结出项目采购管理其实质即为对供应商战略管理的理念,从而提出在一体化供应链下项目采购管理中对供应商管理的战略模型。该模型包括四个路径:"构造供应商库,选择和评价供应商,供应商参与项目开发,定义目标供应商平台",并体现如何应用该模型以提高一体化供应链的竞争性。