Download or read book Integrated Multi criteria Decision Approach for Supplier Selection and Order Quantity Allocation Based on Differentiated Sourcing Strategies written by Rajesh S. Hadavale and published by . This book was released on 2012 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective supply chain design relies on robust analytical models and decision tools. Many such models and tools have been developed to address the supplier selection and order allocation (SSOA) problem, ranging from simple techniques such as weighted scoring models to more complex models that employ mathematical programming techniques. However, most of the traditional SSOA tools and models have failed to consider: (1) Comprehensive and a standardized set of metrics, to guide the decision making process, ranging from suppliers attributes to strategic advantages, across the entire purchasing items categories, and (2) Linking products sourcing attributes to organizations sourcing strategies and goals priorities, in a common framework. The above two issues are addressed by presenting a structured framework with two separate but dependent phases. The first phase relates product's sourcing characteristics to organizations sourcing strategy and goals, and adopt a common set of metrics (qualitative and quantitative) to evaluate the relative efficiency of the suppliers - defined in terms of how the suppliers strength and its association transforms to organizations strategic benefits and ultimately to customers satisfaction. This evaluation is done using analytic hierarchy process (AHP) models. In the second phase the SSOA decision is made using a preemptive goal programming (PGP) - a multi-criteria decision-making methodology - with AHP ratings as its coefficients. The goal priorities chosen are representative of the sourcing strategy formulated for three categories of purchasing items: Strategic and Bottleneck, Leverage, and Routine. Strategic and Bottleneck purchasing items are difficult to manage while Leverage purchasing items are high value. Routine purchasing items are neither difficult to manage nor have high value. The contribution of this study is threefold: (1) It provides a structured decision making approach in the form of a comprehensive framework comprising of interrelated analytical mathematical models to select suppliers and determine their order size for different category of purchasing items. (2) It provides illustrative numerical examples and demonstrates the applicability, compliance and effectiveness of the developed integrated decision making approach, including models robustness and optimality of the decisions to changing parameters (Budget) and priorities (goals). (3) It contributes to the literature in the area at the intersection of strategic sourcing and SSOA with a comprehensive decision approach, which may be of interest to the corporate world to come to grips with the complexities of strategic sourcing.
Download or read book Modeling synergies in multi criteria supplier selection and order allocation An application to commodity trading written by Mariya A. Sodenkamp and published by Infinite Study. This book was released on with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a novel meta-approach to support collaborative multi-objective supplier selection and order allocation (SSOA) decisions by integrating multi-criteria decision analysis and linear programming (LP).
Download or read book Multi criteria Approaches to Supplier Selection and Order Allocation with Quqntity Discounts written by Yuda Chen and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, a multi-criteria multi-period supplier selection and order allocation problem is studied. The supply chain system is modeled with a single buyer and multiple suppliers with deterministic demands as a mixed integer programming problem. Five objectives are included in the multi-period and multi-sourcing problem. All-unit quantity discount policy is also incorporated in the model. The five objectives considered are (1) procurement cost; (2) weighted average inventory; (3) weighted average shortage; (4) weighted average lead time (5) weighted average quality defect rate. Model constraints include demand balance constraints, all-unit discount policy constraints and capacity constraints of the suppliers. Weighted objective method and Goal programming methods (both preemptive and non-preemptive) are utilized to solve the multi-criteria mathematical programming problem. Weighted objective method is used to generate several efficient solutions by applying different sets of weights assigned to the five criteria. In both Preemptive goal programming and Non-preemptive goal programming, the specified goals for the five objectives are satisfied according to the decision maker's preference. A numerical example is presented to illustrate the Weighted objective and Goal programming methods. Twelves efficient solutions are analyzed visually through the Value Path Approach. A sensitivity analysis is conducted to study the impact of varying inventory factors and shortage factors on the optimal sourcing decisions.
Download or read book Supplier Selection written by Krishnendu Mukherjee and published by Springer. This book was released on 2017-04-05 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to present a comprehensive review of the latest research and development trends at the international level for modeling and optimization of the supplier selection process for different industrial sectors. It is targeted to serve two audiences: the MBA and PhD student interested in procurement, and the practitioner who wishes to gain a deeper understanding of procurement analysis with multi-criteria based decision tools to avoid upstream risks to get better supply chain visibility. The book is expected to serve as a ready reference for supplier selection criteria and various multi-criteria based supplier’s evaluation methods for forward, reverse and mass customized supply chain. This book encompasses several criteria, methods for supplier selection in a systematic way based on extensive literature review from 1998 to 2012. It provides several case studies and some useful links which can serve as a starting point for interested researchers. In the appendix several computer code written in MatLab and VB.NET is also included for the interested reader. Lucid explosion of various techniques used to select and evaluate suppliers is one of the unique characteristic of this book. Moreover, this book gives in depth analysis of selection and evaluation of suppliers for traditional supply chain, closed loop supply chain, supply chain for customized product, green supply chain, sustainable supply chain and also depicts methods for supply base reduction and selection of large number of suppliers.
Download or read book Sourcing Strategy written by Sudhi Seshadri and published by Springer Science & Business Media. This book was released on 2005-12-05 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sourcing Strategy is about sourcing as a long term strategic activity. Myopic purchasing management stops short with describing functional procedures and procedural innovations such as online order processing. The goal of this book is not merely to document sourcing strategy, but to provide the tools to determine it. Therefore, rather than merely describe common sourcing processes, the book takes a normative approach to sourcing strategy. It argues for a rational, complete and integrated process view. It supports its recommendations with logical arguments from an interdisciplinary and analytical approach grounded in microeconomics, law and business strategy. Part 1 of the book explains the economic and business principles that underlie sourcing strategies. It derives policies that guide viable strategies to meet sourcing goals. Part 2 applies these to creative designs for standard sourcing scenarios.
Download or read book Multi Criteria Multi Period Supplier Selection and Order Allocation Models written by Ziqi Ding and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis considers the use of multi-criteria optimization methods applied to supplier selection and order allocation problem over a planning horizon under multiple sourcing strategy. The supply chain system is modeled with a single buyer and multiple suppliers with deterministic demands as a mixed integer programming problem.We study the supplier selection and order allocation problem with three objectives. The criteria considered are (1) total cost over the planning horizon; (2) weighted average lead time and (3) weighted average quality defect rate. We first develop the mathematical formulation for all three objectives and then present a general multi-period and multi-criteria optimization model for the procurement problem.Two methods are used to solve the multi-criteria mathematical programming problem. The first approach is the Weighted Objective method. It is used to generate several efficient solutions by changing the weights assigned to the three criteria. The second approach is the Goal Programming method, which is used to generate the optimal solutions that can satisfy the specified targets set for the three criteria according to the decision maker's preference. Several efficient points are generated by both Preemptive and Non-Preemptive Goal Programming methods. A numerical example is presented to illustrate both approaches. There are fourteen efficient solutions generated from both approaches. We compare the efficient solutions visually using the Value Path Approach. A sensitivity analysis is done to study the impact of changing the weight of the non-value added cost in the total cost objective.
Download or read book Integrated Supplier Selection and Order Allocation Incorporating Customer Flexibility written by Lixin Cui and published by Open Dissertation Press. This book was released on 2017-01-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Integrated Supplier Selection and Order Allocation Incorporating Customer Flexibility" by Lixin, Cui, 崔麗欣, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Supplier selection and order allocation are significant decisions for a manufacturer to ensure stable material flows in a highly competitive supply chain, in particular when customers are willing to accept products with less desirable product attributes. Hence, this study develops efficient methodologies to solve optimally the integrated supplier selection and order allocation problem incorporating customer flexibility for a manufacturer producing multiple products over a multi-period planning horizon. In this research, a new fuzzy multi-attribute approach is proposed to evaluate customer flexibility which is characterized through range and response. The approach calculates the product's general utility value. This value is used by a bi-variant function which is developed to determine the retail price for the product. A new mixed integer program model describing the behavior of the basic problem is firstly developed. This basic model is the first to jointly determine: 1) type and quantity of the product variants to be offered; 2) the suppliers to be selected and orders to be allocated; and 3) inventory levels of product variants and raw materials/components. The objective is to maximize the manufacturer's total profit subject to various operating constraints. This basic problem constitutes a very complex combinatorial optimization problem that is Nondeterministic Polynomial (NP)-hard. To tackle this challenge, two new optimization algorithms, i.e., an improved genetic approach called king GA (KGA) and an innovative hybrid algorithm called (CP-SA) _I which combines the techniques of constraint programming and simulated annealing are developed to locate optimal solutions. Extensive computational experiments demonstrate the effectiveness of these algorithms and also show clearly that (CP-SA) _I outperforms KGA in terms of both solution quality and computational cost. To examine the influence of subcontracting as one widespread practice in modern production management, this study also develops a modified mathematical model. It shares some similarity with the basic model but brings additional complexity by taking into consideration subcontractors for inter-mediate components and machine capacity. Since (CP-SA) _I outperforms KGA, it is employed and modified to solve the modified problem. Hence, this study presents a new hybrid algorithm called (CP-SA) _II, to locate optimal solutions. This study also establishes a new parallel (CP-SA) _II algorithm to enhance the performance of (CP-SA) _II. This parallel algorithm is implemented on a distributed computing platform based on the contemporary Graphic Processing Unit (GPU) using the Compute Unified Device Architecture (CUDA) programming model. Extensive numerical experiments conducted clearly demonstrate that the parallel (CP-SA) _II algorithm and its serial counterpart are efficient and robust optimization tools for formulating integrated supplier selection and order allocation decisions. Sensitivity analysis is employed to study the effects of the critical parameters on the performance of these algorithms. Finally, the convergence behavior of the proposed parallel (CP-SA) _II algorithm is studied theoretically. The results prove that the search process eventually converges to the global optimum if the overall best solution is maintained over time. DOI: 10.5353/th_b4786938 Subjects: Business log
Download or read book Green Supplier Evaluation and Selection Models Methods and Applications written by Hu-Chen Liu and published by Springer Nature. This book was released on 2021-03-22 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an introduction to various models and methods for green supplier evaluation and selection (GSES) within different information settings. As such, it provides valuable knowledge, useful GSES methods and practical examples that can be considered by manufacturers in selecting appropriate green suppliers to improve their environmental performance and customer satisfaction. This book is useful for practitioners and researchers working in the fields of supply chain management, operation management, information science, industrial engineering, and management science. It is also useful as a textbook for postgraduate and senior undergraduate students.
Download or read book Developing of a Novel Integrated MCDM MULTIMOOSRAL Approach for Supplier Selection written by Alptekin Ulutaş and published by Infinite Study. This book was released on 2021-03-21 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main aim of the article is to propose a new multiple criteria decision-making approach for selecting alternatives, the newly-developed MULTIMOOSRAL approach, which integrates advantages of the three well-known and prominent multiple-criteria decision-making methods: MOOSRA, MOORA, and MULTIMOORA. More specifically, the MULTIMOOSRAL method has been further upgraded with an approach that can be clearly seen in the well-known WASPAS and CoCoSo methods, which rely on the integration of weighted sum and weighted product approaches.
Download or read book Sustainable Procurement in Supply Chain Operations written by Sachin K. Mangla and published by CRC Press. This book was released on 2019-05-31 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable Procurement is an emerging concept in supply chain and operations management. Manufacturing industries have made improvements in moving from cost-based to quality-based, and customer-focused supply chain management strategies. This is becoming an integrated component in the supply chain system, with players becoming aware of the regulations and needs of the customer. It is imperative for production firms to look at the procurement activity as one of the strategic enablers for sustaining the business in the competitive global environment. This book will provide industries with an understanding of the concepts related to sustainable procurement policies and its implementation. Provides decision and theory development models in sustainable procurement supply chains Includes contributions in all three major analytics: descriptive, predictive, and perspectives in the context of sustainable procurement supply chain Discusses new business models with suppliers and opportunities for co-branding Covers how to develop new tools to measure and allocate the gains from sustainable practices among stakeholders Analyses the science of translating data into meaningful and actionable insights
Download or read book An Integrated Supplier Selection Model with Product Life Cycle Considerations written by Richard Titus and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Cost of purchased materials account for up to 70% of the overall product cost and the consequences of supplier delivery, quality performance problems and price fluctuations can have profound negative effects for an organization. Product life cycles are increasing in length for defense applications and shortening in consumer products, such as toys, electronics, etc. These factors make the purchasing function a critical factor impacting the long term health of companies.In this dissertation, we begin with the investigation of the relationship between supplier quality and delivery performance and supplier attributes as part of an empirical study using an ordinal logistic regression. The results of this study are utilized to develop an integrated supplier selection model with product life cycle considerations. Supplier selection is a multiple criteria optimization problem with conflicting criteria, such as quality, delivery, service, product safety and others. Several multiple criteria sourcing models exist in the literature. Very rarely they have considered the fact that the relative importance of the supplier attributes depends on the product life cycle phase. For example, during the Introduction phase, companies may work with a single supplier emphasizing product safety, quality and delivery. Revenue targets are more important than gross profit margins. However, during the Growth phase, multiple suppliers may be used to meet surging demand and to introduce price competition among the suppliers. In the Mature phase, controlling procurement cost becomes important in order to boost the product gross profit margin. In addition, many suppliers can deliver materials needed for multiple products under various stages of the product life cycle phase. Companies may also limit the business volume to new and existing suppliers. All these factors are integrated into a general model.In this thesis, a multiple criteria, multiple products, supplier selection model that explicitly considers the product life cycle phases of the products is developed. The Goal Programming (GP) approach is used to solve the multiple criteria problem. The general model objectives include price, lead-time, quality, delivery, product performance and safety. Products from the introduction, growth, maturity and decline phases of the product life cycle are included in the general model. An illustrative example is developed and a number of goal programming approaches, including preemptive, non-preemptive, Tchebycheffs min-max and fuzzy, are utilized to provide the optimal solutions. The Value Path method is used to provide visual tradeoffs of the conflicting objectives across the product life cycle phases.This general model is applied to a real-world problem. The case study is focused on a U.S. based consumer products company which utilizes a diverse global supply chain to design, manufacture and deliver products throughout the world. Three key executive decision makers are employed to identify and rank the key sourcing criteria attributes for products representing the introduction, growth, mature and decline phases of the product life cycle. Ranking methods included rating method, Borda count utilizing pairwise comparisons and the Analytic Hierarchy Process. The decision makers (DMs) shared their feedback on the cognitive burden for each of the ranking methods. Ranking results indicate that the DMs priorities change based on the product life cycle phase. A number of constraints based on the companys procurement practices were include in creating the supplier selection models. The GP model results, for the preemptive, non-preemptive and Tchebycheffs min-max models, were presented to the decision makers utilizing the Value Path method. The decision makers quickly understood the significance of Value Path graphs and focused on choosing the best overall sourcing solutions based on their rankings of the supplier attributes.In order to test the effectiveness of the model, the actual orders used by the company were compared to the GP model results. A number of factors impacted the actual order allocations, such as unanticipated demand, supplier capacity constraints and supply chain designs. The GP model results exceeded the actual order allocations criteria performance for many of the products throughout the product life cycle phases. A comparison of the actual procurement cost with those of the GP models showed substantial cost savings to the company, while maintaining quality, delivery and safety performance. These results were presented to the companys Chief Operating Officer using the Value Path approach. He provided extensive feedback and had questions on how the model results could be blended to examine alternate solutions. He was able to identify opportunities for the company to improve supplier performance in an effort to minimize supplier risk. This reveals the strength of this integrated decision-making model, which allows what if scenarios to be tried, including changing goal priority weights, priorities and relaxing business constraints and thus provide the DM with alternative sourcing strategies to consider.
- Author : Yishan Sun
- Publisher :
- Release : 2015
- ISBN :
- Pages : pages
A Multi period Multi criteria Supplier Selection and Order Allocation Model Under Demand Uncertainty
Download or read book A Multi period Multi criteria Supplier Selection and Order Allocation Model Under Demand Uncertainty written by Yishan Sun and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, a multi-period multiple sourcing supplier selection and order allocation model under demand uncertainty condition with shortages is built. The objective is to determine which suppliers should be selected and the order quantities of each product for each period.The problem has three objectives: minimizing the total cost over the planning horizon, minimizing the weighted average lead time over the planning horizon and minimizing the weighted average quality defect rate over the planning horizon. First, a mathematical formulation for all the three objectives is developed and then a general multi-period and multi-criteria optimization model is presented.There are two key decisions to make: 1) to choose the most favorable suppliers from a given set of suppliers to meet supplier selection criteria for various items in each period; 2) to order optimal quantities in each period for each poduct from the selected suppliers to meet the production demand. Weighted Objective method is used to generate the efficient solution by assigning weights to the three criteria. A sensitivity analysis is done to study the impact of changing the input parameters values such as initial inventory levels and maximum and minimum values of demands on the total cost objective and selection of suppliers.
Download or read book Multi Criteria Decision Making MCDM Model for Supplier Evaluation and Selection in the Supply Chain Management written by Nguyen Van Thanh and published by . This book was released on 2020-04-30 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a market economy, choosing a supplier is a strategic decision, directly affecting to the business performance of the businesses, choosing an effective suppliers to help businesses create high quality products, low cost, meeting the demand that customers' expect, and being able to aim for sustainable development in the future. The benefits of choosing the best suppliers help businesses gain a competitive advantage in the market. However, the process of selecting suppliers is very complicated, requiring decision makers to analyze and evaluate many qualitative and quantitative criteria are conflict together to get accurate results. Thus, this book presents a mathematical model to optimize supplier's selection process, with the aim of improving products quality, timely delivery, meeting the increasing demands of customers, and ensuring reduce production costs of products. In book, the author considered main criteria including financial criteria, delivery and services factors, qualitative criteria and environmental management systems.
Download or read book Delivering Customer Value Through Procurement and Strategic Sourcing written by Walter L. Wallace and published by Pearson Education. This book was released on 2015 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Companies of all sizes are seeking to transform their procurement and supplier relationship management processes: activities that have a tremendous upside potential for improved supply chain effectiveness and efficiency. Now, two leading consultants and researchers offer a comprehensive approach to creating customer value through strategic sourcing and procurement. Unlike texts focused primarily on day-to-day operations and tactics, Delivering Customer Value through Procurement and Strategic Sourcing focuses on helping senior executives and managers gain sustainable competitive advantage from their supply chains."--Publisher's website.
Download or read book Green Supplier Evaluation and Selection Using Cloud Model Theory and the QUALIFLEX Method written by Ke-Qin Wang and published by Infinite Study. This book was released on with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, companies have to improve their practices in the management of green supply chain with increased awareness of environmental issues worldwide. Selecting the optimum green supplier is crucial for green supply chain management, which is a challenging multi-criteria decision making (MCDM) problem.
Download or read book Determining Strategy Based Supplier Pre Qualification Criteria With Fuzzy Relational Maps written by Gülcan Petriçli and published by Infinite Study. This book was released on with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supplier Selection is one of the most studied areas in management and decision sciences. However, it is still a highly problematic subject since decision-makers take an educated guess after a certain stage in real life practices. In order to overcome the problems, decision makers should focus their attention on the first stage of the selection process, criteria determination, as the quality of the selection phase heavily depends on the first stage.
Download or read book A Multi product Multi supplier Multi period and Multi Price Discount Levels Supplier Selection and Order Allocation Model Under Demand Uncertainty written by Swapnil Phansalkar and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, a multi criteria decision making model for supplier selection and order allocation is developed under demand uncertainty. The primary goal of this model is to assist the buyer in making the decision regarding the selection of suppliers and allocation of order quantities to the selected suppliers to satisfy demand for each product in every time period. The multi criteria decision making model has the following three objectives: to minimize the total cost over planning horizon, to minimize the total number of quality defects and to minimize the weighted average lead time. The demand is assumed to follow normal distribution and shortages are allowed in this model. Further, each supplier is assumed to provide all unit type of price discount for each part. A mathematical formulation is done for each objective and then a general model for multiple products, multiple suppliers, multiple time periods and multiple price discount levels is developed. The multi criteria model includes the buyer's demand constraints, the supplier's capacity constraints and the supplier's price break constraints. The following decisions are to be made in this model: to select the appropriate suppliers considering the objectives of the model and to determine the optimal order quantity from the selected suppliers to satisfy the buyer's demand for each time period. This model uses weighted objective method to determine the optimal solution to the multi criteria decision making problem.