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نتیجه جستجو - Supplier selection

تعداد مقالات یافته شده: 24
ردیف عنوان نوع
1 AHP-TOPSIS social sustainability approach for selecting supplier in construction supply chain
رویکرد پایداری اجتماعی AHP-TOPSIS برای انتخاب تامین کننده در زنجیره تأمین ساخت و ساز-2021
Prequalification of suppliers in the Construction Supply Chain is considered a crucial step to assure to their ability to deliver socially sustainable projects. This research identifies the most important social sustainability prequalification criteria for supplier selection in Construction Supply Chain. Additionally, a Multi-Criteria Decision Making (MCDM) model based on social indicators of sustainability is proposed in this research. Structured interviews were organized with experienced practitioners to define the relative importance weights of criteria that have collected in the first phase using Analytic Hierarchy Process (AHP). As such, the AHP is applied to develop mathematical determination to achieve the weights of social indicators. Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method is used to evaluate the different suppliers in the construction supply chain against 17 identified attributes. Ultimately, the closeness coefficients of the suppliers are estimated in order to identify social performance. The research aims at proposing a computational model of MCDM in order to introduce it to the construction organizations to utilize in the supplier prequalification process. A computational model is developed and a case study is worked out to illustrate the proposed methodology in supplier selection to ensure sustainable construction projects. Afterwards, the model is validated and a sensitivity analysis is conducted to analyze the impact of changing the weights of the considered attributes in the model outputs.
Keywords: Social sustainability | Supplier selection | Construction supply chain | Multi-criteria decision making | Analytical hierarchy process | TOPSIS | Sensitivity analysis
مقاله انگلیسی
2 Buyer selection and service pricing in an electric fleet supply chain
انتخاب خریدار و قیمت گذاری خدمات در زنجیره تأمین ناوگان الکتریکی-2021
Much attention has been focused on supplier selection in operations. There has been less research on the supplier selecting buyers in a two-echelon supplier-buyer chain, which we study for downstream taxicab vehicle fleets. We consider the problem of pricing infrastructure services by an electric vehicles (EVs) service provider (SP), which determines the group of taxicab companies (TCs) that will adopt EVs. We study SP’s pricing decisions in a decentralized supply chain under a general infrastructure cost function, multiple TCs, and symmetric information. We extend the modeling to the case with (i) endogenous demand and EV-taxicab end-consumer pricing and (ii) asymmetric information between SP and TC. We analyze the factors that influence SP’s profits and the set of participating TCs who adopt EVs. We find that when the fleet size of TCs increases, SP prefers to serve more low-mile TCs than the high-mile TCs and even removes some high-mile TCs in exchange for low-mile TCs, where low and high-miles correspond to average miles driven in a time period (shift). When the coefficient of variation of miles driven increases, SP prefers to serve more high-mile TCs than the low-mile TCs. In general, the set of TCs that adopt EVs cannot be simply characterized using inputs such as average miles driven by different TCs. This study provides a modeling framework and managerial implications for TC selection and pricing contracts by an EV infrastructure service provider.
Keywords: Supply chain management | Buyer selection | Electric Vehicles | Service pricing | Submodular infrastructure cost
مقاله انگلیسی
3 Unpacking the role of primary packaging material in designing green supply chains: An integrated approach
Unpacking the role of primary packaging material in designing green supply chains: An integrated approach-2021
Due to the adverse impact of packaging materials on several ecosystems, the circular and sustainable approaches to manage packaging waste have been receiving increasing attention worldwide. Plastic pails are widely used primary packaging materials that are cost-effective, lightweight, yet long-lasting. In the present study, we pro- pose a closed-loop supply chain (CLSC) network design model to jointly optimize the decisions related to the location of collection, sorting, and recycling centers, and the quantity of plastic pales to be recycled and/or freshly produced and distributed. The proposed model is augmented with an incentive mechanism to acquire used plastic pails from customers as well as a green supplier selection procedure. In addition to the traditional objective of profit maximization, the proposed model also minimizes carbon emission, maximizes the return of used plastic pails, and prioritize suppliers for the procurement of sustainable packaging raw materials. A set of non-dominated solutions to the proposed multi-objective model are obtained using the Augmented ε-constraint method (AUGMECON). The results of AUGMECON are also compared with other methods such as weighted sum method and Augmented Tchebycheff method. It is oberseved that AUGMECON produces diverse set of pareto- optimal solutions for the considered problem. The applicability of the model is explained using an illustrative example of an adhesive manufacturer in India. Further, several managerial insights are drawn by carrying out sensitivity analysis through scenario building.
Keywords: Primary packaging | Closed-loop supply chain network design | Incentives | Supplier selection | Multi-objective optimization | Augmented ε-constraint method
مقاله انگلیسی
4 Risk-averse supplier selection and order allocation in the centralized supply chains under disruption risks
انتخاب تامین کننده متنفر از ریسک و تخصیص سفارش در زنجیره های تأمین متمرکز تحت خطرات اخلال-2021
This paper proposes a mixed-integer non-linear programming (MINLP) model for the integrated supplier selec- tion and order allocation in a centralized supply chain considering the disruption risks and a risk-averse decision- maker. In order to capture a realistic scenario of considering the geographical characteristics of the suppliers, we assume that the suppliers belong to two regions: the buyer’s region (domestic suppliers) and outside of the buyer’s region (foreign suppliers). Considering this realistic feature, the supply chain might face two types of disruption risk: first, local disruption risks which might uniquely occur inside each supplier such as equipment breakdowns, and second, regional disruption risks that might occur in the region of the suppliers located in the same geographical region such as natural hazards. We formulate the problem considering a risk-neutral decision- maker as a benchmark, and then a risk-averse model is presented. In the latter case, we apply two types of risk assessment tools introduced in the finance literature to analyze the decision maker’s behavior: value-at-risk (VaR) and conditional value-at-risk (CVaR). We show that developed models are non-convex programming, and therefore, we apply the particle swarm optimization (PSO) algorithm as the solution approach. We also compare the developed PSO algorithm with the Genetic algorithm (GA) and the commercial GAMS solver to verify the efficiency of the solution method. The computational experiments indicate the impact of the decision maker’s attitude on the supplier selection and the order quantity.
Keywords: Supplier selection | Disruption risks | Order allocation | Conditional value-at-risk | Meta-heuristic algorithms
مقاله انگلیسی
5 Decision-making techniques in supplier selection: Recent accomplishments and what lies ahead
تکنیک های تصمیم گیری در انتخاب تأمین کننده: دستاوردهای اخیر و آنچه پیش رو است-2020
Supplier selection (SS) is considered a sophisticated, application-oriented, decision-making (DM) problem and has received considerable attention. In the past two decades, DM theories and techniques continue to be incorporated into and contribute to the development of SS applications. Maintaining the pace of the rapid transitions in this field, this paper systematically reviews the relevant articles published be- tween 2013 and 2018. Articles that orient various DM techniques are selected and analyzed under a well- established framework. State-of-the-art developments in the adoption of DM techniques are summarized in a SS process. We pay particular attention to promising directions that can dominate future research in this field. This paper further extends the history of several interacting fields, including big data and eco- nomic theories, toward methodological rather than application dimensions. The potential of such fields for SS is discussed from an interdisciplinary perspective.
Keywords: Supplier selection | Decision making | Big data | Multiple criteria | Artificial intelligence | Literature review
مقاله انگلیسی
6 Self-induced learning vs: project-based supplier development for production ramp-up with two supply options
یادگیری خود - تلقینی دربرابر توسعه تامین کننده مبتنی بر پروژه برای افزایش تولید با دو گزینه تامین-2018
Due to the important role suppliers play in the generation of customer value today, supplier development has attracted the attention of many companies in recent years. One challenge companies wishing to engage in supplier development face is to select both the right suppliers for supplier development as well as adequate supplier development measures and to align supplier development initiatives with the companys remaining sourcing activities. This problem becomes even more pressing during production ramp-up, where an increasing customer demand forces companies to expand the capacities of their supplier base as well. Albeit research on supplier development has enjoyed an increasing popularity in recent years, only a few mathematical models exist to date that support companies in making optimal supplier development decisions. The paper at hand contributes to closing this research gap by developing a decision support model that assists companies in selecting suppliers, in scheduling supplier development projects and in assigning order quantities to selected suppliers. In developing the proposed model, the paper accounts for the fact that suppliers often improve their performance also in the absence of supplier development, and thus considers both self-induced performance improvements at the suppliers as well as performance improvements induced by supplier development projects. The results of a numerical experiment imply that the supplier selection, order allocation and supplier development decisions are subject to complex interactions. The model proposed in this paper supports companies in fitting their supplier development activities to the requirements of the sourcing scenario they face with the intention to maximize profit.
keywords: Supplier development |Supplier management |Learning |Production ramp-up |Order allocation
مقاله انگلیسی
7 The Capacitated Supplier Selection problem with Total Quantity Discount policy and Activation Costs under uncertainty
مشکل انتخاب تامین کننده ظرفیت دار با سیاست کل مقدار تخفیف و هزینه های فعالسازی تحت عدم قطعیت-2018
We study the Capacitated Supplier Selection problem with Total Quantity Discount policy and Activation Costs, a procurement problem where a company needs a certain quantity of different products from a set of potential suppliers, and introduce its variant under uncertainty. In its deterministic form, the problem aims at selecting a subset of the suppliers and the relative purchasing plan satisfying the demands at minimum cost, taking into account that the suppliers offer discounts based on the total quantity of products purchased and that the activation of a business activity with a supplier has a fixed cost. However, due to the long-term nature of the problem, several parameters may be affected by uncertainty. Thus, we propose a two-stage stochastic programming formulation with recourse, highlighting the strategic and the operational decisions involved, as well as the effect of the different sources of uncertainty. In particular, we focus on the cases in which only the products price or only the products demand are stochastic. The general model and the recourse actions are adapted for these special cases, and the resulting modeling approaches are validated on a large set of instances. The experiments show the convenience of having in place models considering uncertainty explicitly with respect to using expected values for approximating it, and give rise to interesting managerial insights. Due to the computational burden of solving the resulting stochastic models (for a sufficiently large number of scenarios), we also propose a branch-and-cut solution framework based on valid inequalities and other accelerating mechanisms.
keywords: Procurement logistics |Total quantity discount |Stochastic prices |Stochastic demands |Stochastic programming
مقاله انگلیسی
8 Integrated pricing and supplier selection in a two-stage supply chain
قیمت گذاری یکپارچه و انتخاب تامین کننده در یک زنجیره تامین دو مرحله ای-2018
This article presents an inventory replenishment model with supplier selection and pricing decisions in a two-stage supply chain consisting of a manufacturer stage followed by a retailer stage. A decision maker controls both stages. The manufacturer can procure the required raw material from a list of potential suppliers, each of whom has restrictions regarding capacity and quality. In this model, the manufacturer periodically replenishes the retailers inventory, whose demand is sensitive to price changes. We propose a mixed integer nonlinear programming model designed to determine the number of orders placed to the selected suppliers per order cycle, the amount of inventory replenished at each stage, and the selling price that maximizes the profit per time unit. Additionally, we provide upper and lower bounds for the retailers selling price and for the manufacturers lot size multiplicative factor, which results in a tight feasible search space.
keywords: Two-stage supply chain |Price-sensitive demand |Supplier selection |Mixed integer nonlinear programming model |Optimal selling price bounds
مقاله انگلیسی
9 Dynamic supplier selection and lot-sizing problem considering carbon emissions in a big data environment
انتخاب تامین کننده پویا و مساله اندازه گیری بزرگ با توجه به انتشار کربن در یک محیط داده های بزرگ-2018
Selection of the right suppliers with a view of overall reduction in the procurement cost as well as carbon emissions is an important task for the buyers to sustain in the fierce competitive environment. The rising con cerns about carbon emissions due to severe climatic changes globally have forced supply chain managers to restrategize about controlling their carbon emissions. This paper proposes a dynamic supplier selection model incorporating the carbon emissions under the carbon cap-and-trade scenario. Carbon emissions caused due to ordering, holding the inventory, production and handling and transportation have been considered in the paper. The proposed mathematical model is a mixed-integer-non-linear-program (MINLP). Validation of the proposed MINLP has been done using two randomly generated datasets having the essential parameters of Big Data, i.e. volume, velocity, and variety.
Keywords: Supplier selection ، Big Data ، Carbon emissions ، Lot-sizing ، Mixed-integer non-linear program
مقاله انگلیسی
10 Geography of suppliers in the hospitality sector: The case of Alanya
جغرافیای تامین کننده ها در بخش مهمانداری: مورد آلانیا-2018
The hospitality sector has for some time attracted significant academic attention due to its impact on other sectors. The aim of this paper, which falls between the tourism and economic geography fields of interest, is to explore the demands and supplier linkages of hotels, aiming to identify not only how the geographical distribution of suppliers is determined, but also any differences between supplier linkages and supplier selection criteria. The results reveal that Alanya (a district of Antalya in Turkey) has a robust network of supplier firms that is able to provide hotels with the necessary products and services, and as a result, the contribution of hotels to the local economy in Alanya (local level), based on their purchasing practices, can be considered high.
keywords: Hospitality sector |Secondary economic effects |Supplier relations
مقاله انگلیسی
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