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Sharing accurate and timely supply and demand information throughout a supply chain can yield significant performance improvements to all members of the supply chain. Despite the benefits, many firms are reluctant to share information with their supply chain partners due to an unequal distribution of risks, costs, and benefits among the partners. Thus, incentive mechanisms must be in place to induce communication, cooperation, and collaboration among all members of a supply chain. The issue of Information exchange/sharing has been examined by various researchers over the last 15-20 years. However, there is no research book that compiles various approaches, analyses, key implications, as well as future development of this area. This book will serve as a handbook for researchers who are interested in learning the state of the art of the line of research in this area and explore open research topics in this area. Contributors, all leading researchers, have committed to delivering 18 chapters, broken into four distinct sections covering the Value of Information Sharing, Contracting and Information, Information Signaling, and Incentives for Information Sharing.
SUPPLY CHAIN ANALYSIS: A Handbook on the Interaction of Information, System, and Optimization is a carefully developed work focused on the analysis of supply chain interaction issues in emerging markets and industry sectors. It is a leading-edge handbook that will emphasize where little work has been done and where the rubber meets the road the supply chain process, information, and systems integration. These are pertinent issues facing practitioners and researchers in today 's business environment. This is a gap-bridging handbook that analyzes interaction issues from both the research and practitioner sides. The result is a volume that examines and provides practical solutions on interaction issues while being firmly grounded in research principles. Some of the topical areas the Handbook examines are: The issue of supply chain design, from the perspective of foreign cosmetic companies in China; The issue of supply chain coordination among the grocery manufacturers. Most notably, the opportunity for strategic, multi-lateral collaboration through a shared distribution network; The impact of online secondary markets on the operational issues of a supply chain; The critical importance of risk and disruption in supply chain; and the huge issue of integrating demand and supply, hence the need to synchronize the supply chain with the demand chain.
The proliferation of new products has become a common phenomenon in today's business world. Most companies now offer hundreds, if not thousands, of stock keeping units (SKUs) in order to compete in the market place. Companies that expand their product and service varieties now face a new set of problems: accurate demand forecasts, controlling production and inventory costs, and providing high quality delivery performance. In addition, marketing managers will often advocate widening product lines for increasing revenue and market share, but increasing product lines can also decrease the efficiency of manufacturing processes and distribution systems. Hence, firms must weigh the benefits of increasing product variety against its cost and determine the optimal level of product variety to offer to their customers. Product Variety Management examines the interrelated problems between the marketing and production functions in industry, and through a series of research survey papers by leading scholars in economics, engineering, marketing, and operations research, the book addresses the following questions: Why do companies extend their product lines? Do consumers care about product variety? Will a brand with more variety enjoy higher market share? How should product variety be measured? How can a company exploit its product and process design to deliver a higher level of product variety quickly and cheaply? What should the level of product variety be and what should the price of each of the product variants be? What kind of challenges would a company face in offering a high level of product variety and how can these obstacles be overcome? The solutions to these questions are drawn frommultiple functions and a variety of disciplines. Product Variety Management is a state-of-the-art treatment of a multi-disciplinary approach to product variety.
From the Foreword by Marshall Fisher, The Wharton School, University of Pennsylvania: As generation of academics and practitioners follows generation, it is worthwhile to compile long views of the research and practice in the past to shed light on research and practice going forward. This collection of peer-reviewed articles is intended to provide such a long view. This book contains a collection of chapters written by leading scholars/practitioners who have continued their efforts in developing and/or implementing innovative OR/MS tools for solving real world problems. In this book, the contributors share their perspectives about the past, present and future of OR/MS theoretical development, solution tools, modeling approaches, and applications. Specifically, this book collects chapters that offer insights about the following topics: * Survey articles taking a long view over the past two or more decades to arrive at the present state of the art while outlining ideas for future research. Surveys focus on use of a particular OR/MS approach, e.g., mathematical programming (LP, MILP, etc.) and solution methods for particular family of application, e.g., distribution system design, distribution planning system, health care. * Autobiographical or biographical accounts of how particular inventions (e.g., Structured Modeling) were made. These could include personal experiences in early development of OR/MS and an overview of what has happened since. * Development of OR/MS mathematical tools (e.g., stochastic programming, optimization theory). * Development of OR/MS in a particular industry sector such as global supply chain management. * Modeling systems for OR/MS and their development over time as well as speculation on future development (e.g., LINDO, LINGO, and What'sBest!) * New applications of OR/MS models (e.g., happiness) The target audience of this book is young researchers, graduate/advanced undergraduate students from OR/MS and related fields like computer science, engineering, and management as well as practitioners who want to understand how OR/MS modeling came about over the past few decades and what research topics or modeling approaches they could pursue in research or application.
Supply Chain Risk Management is an issue that many companies
face and yet few companies know how to deal with it in a systematic
and pragmatic manner. While avoiding and reducing supply chain
risks are certainly preferable, developing ways to restore and
stabilize supply chain operations rapidly after a major disruption
is critical for managing global supply chains. Sodhi and Tang
present important concepts, frameworks, strategies, and analyses
that are essential for managing supply chain risks. Not only does
this book suggest some practical ways to work with different
partners to manage the risks that are present in a global supply
chain, it creates a framework that would enable practitioners to
engage researchers to work on this important area.
This book focuses on three essential elements of agricultural supply chains: Planting and Growing, Processing and Selling, and Government Interventions. For decades, most agricultural economists applied macro-economic theory in decisions pertaining to the optimization of food production and distribution. However, few researchers used micro-economic theory to examine how individual farmers respond to market information, incentive pricing mechanisms and different market structures in the trade of agricultural goods. Examining challenges in agricultural supply chain operations through the lens of micro-economic theory is imperative because it can enable policymakers and social enterprises to develop and design market information provision policy, incentive contracts and market structures for improving farmer and consumer welfare. In each chapter, contributing authors motivate their research questions by providing the context and articulating the importance of their questions. They present their analysis to examine the respective research questions and explain their results. At the end of each chapter, they provide a short list of future research questions.
This book focuses on three essential elements of agricultural supply chains: Planting and Growing, Processing and Selling, and Government Interventions. For decades, most agricultural economists applied macro-economic theory in decisions pertaining to the optimization of food production and distribution. However, few researchers used micro-economic theory to examine how individual farmers respond to market information, incentive pricing mechanisms and different market structures in the trade of agricultural goods. Examining challenges in agricultural supply chain operations through the lens of micro-economic theory is imperative because it can enable policymakers and social enterprises to develop and design market information provision policy, incentive contracts and market structures for improving farmer and consumer welfare. In each chapter, contributing authors motivate their research questions by providing the context and articulating the importance of their questions. They present their analysis to examine the respective research questions and explain their results. At the end of each chapter, they provide a short list of future research questions.
To compete in today's volatile market with rapidly changing consumer tastes and erce competition, companies in the manufacturing and service industries are - ploying new mechanisms to increase sales, market shares, and pro ts. As an - fective mechanism to segment a market comprising of consumers with different needs, preferences, and willingness-to-pay, many rms have used product (or s- vice) variety with different price points to serve different segments of the market, see Ho (1998). Ideally, the price of each of these products (or services) targets a particular segment of customers. For example, airlines often use different terms of sales (refundable/non-refundable, upgradable/non-upgradable, direct/connecting ight, etc. ) to sell economy class tickets at different prices. Likewise, retailers - ten sell the same product at different prices in different channels (company's own web site, dealers' web sites, or company's physical stores) or at different times (- fore, during, and after the selling season), see Talluri and van Ryzin (2005). Ample academic literature in Operations Management and other areas considered these strategies. However, as consumers become more knowledgeable about the product, pricing, organizational and operational policies that the companies deploy for pr- ucts and services, their purchasing begins to change dramatically. In the academic Operations Management literature, consumer demand is often assumedtobe exogenous so that demand functions are usually modeled as well de- ned and exogenously speci ed functions of price and/or other product attributes such as quality.
Sharing accurate and timely supply and demand information throughout a supply chain can yield significant performance improvements to all members of the supply chain. Despite the benefits, many firms are reluctant to share information with their supply chain partners due to an unequal distribution of risks, costs, and benefits among the partners. Thus, incentive mechanisms must be in place to induce communication, cooperation, and collaboration among all members of a supply chain. The issue of Information exchange/sharing has been examined by various researchers over the last 15-20 years. However, there is no research book that compiles various approaches, analyses, key implications, as well as future development of this area. This book will serve as a handbook for researchers who are interested in learning the state of the art of the line of research in this area and explore open research topics in this area. Contributors, all leading researchers, have committed to delivering 18 chapters, broken into four distinct sections covering the Value of Information Sharing, Contracting and Information, Information Signaling, and Incentives for Information Sharing.
To compete in today's volatile market with rapidly changing consumer tastes and erce competition, companies in the manufacturing and service industries are - ploying new mechanisms to increase sales, market shares, and pro ts. As an - fective mechanism to segment a market comprising of consumers with different needs, preferences, and willingness-to-pay, many rms have used product (or s- vice) variety with different price points to serve different segments of the market, see Ho (1998). Ideally, the price of each of these products (or services) targets a particular segment of customers. For example, airlines often use different terms of sales (refundable/non-refundable, upgradable/non-upgradable, direct/connecting ight, etc. ) to sell economy class tickets at different prices. Likewise, retailers - ten sell the same product at different prices in different channels (company's own web site, dealers' web sites, or company's physical stores) or at different times (- fore, during, and after the selling season), see Talluri and van Ryzin (2005). Ample academic literature in Operations Management and other areas considered these strategies. However, as consumers become more knowledgeable about the product, pricing, organizational and operational policies that the companies deploy for pr- ucts and services, their purchasing begins to change dramatically. In the academic Operations Management literature, consumer demand is often assumedtobe exogenous so that demand functions are usually modeled as well de- ned and exogenously speci ed functions of price and/or other product attributes such as quality.
Supply Chain Risk Management is an issue that many companies
face and yet few companies know how to deal with it in a systematic
and pragmatic manner. While avoiding and reducing supply chain
risks are certainly preferable, developing ways to restore and
stabilize supply chain operations rapidly after a major disruption
is critical for managing global supply chains. Sodhi and Tang
present important concepts, frameworks, strategies, and analyses
that are essential for managing supply chain risks. Not only does
this book suggest some practical ways to work with different
partners to manage the risks that are present in a global supply
chain, it creates a framework that would enable practitioners to
engage researchers to work on this important area.
Product proliferation has become a common phenomenon. Most companies now offer hundreds, if not thousands, of stock keeping units (SKUs) in order to compete in the market place. Companies with expanding product and service varieties face with problems of obtaining accurate demand forecasts, controlling production and inventory costs, and providing high quality and good delivery performance for the customers. Marketing managers often advocate widening product lines for increasing revenue and market share. However, the breadth of product line can also decrease the efficiency of manufacturing processes and distribution systems. Thus firms must weigh the benefits of product variety against its cost in order to determine the optimal level of product variety to offer to their customers. Academics and practitioners are interested in several fundamental questions about product variety. For instance, why do companies extend their product lines? Do consumers care about product variety? Will a brand with more variety enjoy higher market share? How should product variety be measured? How can a company exploit its product and process design to deliver a higher level of product variety quickly and cheaply? What should the level of product variety be and what should the price of each of the product variants be? What kind of 'challenges would a company face in offering a high level of product variety and how can these obstacles be overcome? The solutions to these questions span multiple functions and disciplines.
From the Foreword by Marshall Fisher, The Wharton School, University of Pennsylvania: As generation of academics and practitioners follows generation, it is worthwhile to compile long views of the research and practice in the past to shed light on research and practice going forward. This collection of peer-reviewed articles is intended to provide such a long view. This book contains a collection of chapters written by leading scholars/practitioners who have continued their efforts in developing and/or implementing innovative OR/MS tools for solving real world problems. In this book, the contributors share their perspectives about the past, present and future of OR/MS theoretical development, solution tools, modeling approaches, and applications. Specifically, this book collects chapters that offer insights about the following topics: * Survey articles taking a long view over the past two or more decades to arrive at the present state of the art while outlining ideas for future research. Surveys focus on use of a particular OR/MS approach, e.g., mathematical programming (LP, MILP, etc.) and solution methods for particular family of application, e.g., distribution system design, distribution planning system, health care. * Autobiographical or biographical accounts of how particular inventions (e.g., Structured Modeling) were made. These could include personal experiences in early development of OR/MS and an overview of what has happened since. * Development of OR/MS mathematical tools (e.g., stochastic programming, optimization theory). * Development of OR/MS in a particular industry sector such as global supply chain management. * Modeling systems for OR/MS and their development over time as well as speculation on future development (e.g., LINDO, LINGO, and What'sBest!) * New applications of OR/MS models (e.g., happiness) The target audience of this book is young researchers, graduate/advanced undergraduate students from OR/MS and related fields like computer science, engineering, and management as well as practitioners who want to understand how OR/MS modeling came about over the past few decades and what research topics or modeling approaches they could pursue in research or application.
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