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Author: Christopher DiAndreth
Publisher:
ISBN:
Category :
Languages : en
Pages : 65
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Book Description
As Boston Scientific's supply chain becomes more versatile in mixing their supply networks across divisions, there is new opportunity to re-optimize product flow downstream of manufacturing based on unique product attributes and network capabilities instead of solely legacy divisional flow. The current organizational structure, methods, and systems prompts product flow to be optimized within functional silos. However, there are no current methods or tools that readily enable management to evaluate the total system in an integrative manner or with respect to specific product attributes. This project aims to improve BSC's ability to determine optimal product flow by introducing a tool that optimizes across the downstream supply chain via an integrative perspective that accounts for product and network attributes. The integration involves the major cost activities, such as freight, handling, and inventory costs, or what can be termed the total "Cost-to-Deliver" product from a manufacturing facility to end customers. The proposed optimization framework includes the inter-dependencies of cost drivers across the supply chain that are typically missed when solving in functional silos. We develop a decision support tool to determine optimal product flow across the various nodes within the downstream supply chain (manufacturing, sterilization, and multiple tiers of distribution centers) over a single period horizon that can be extend to multi-periods through a present value approach. This tool enables the decision maker to compare directly the trade-offs between two different constrained flows, as well as vary product parameters within this scenario comparison to uncover ideal product segmentation with respect to flow decisions. To demonstrate the value for the tool, we used it to segment products with respect to the choice of transportation mode on a freight lane. We find that changing the standard transportation mode for several current products would yield five-year net present value savings of 10-35% of their current annual cost-to-deliver. Ultimately the insights gained, and framework leveraged, are relevant to other industries with multinodal supply chains with high-mix products and not just constrained to the Medical Device industry.
Author: Christopher DiAndreth
Publisher:
ISBN:
Category :
Languages : en
Pages : 65
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Book Description
As Boston Scientific's supply chain becomes more versatile in mixing their supply networks across divisions, there is new opportunity to re-optimize product flow downstream of manufacturing based on unique product attributes and network capabilities instead of solely legacy divisional flow. The current organizational structure, methods, and systems prompts product flow to be optimized within functional silos. However, there are no current methods or tools that readily enable management to evaluate the total system in an integrative manner or with respect to specific product attributes. This project aims to improve BSC's ability to determine optimal product flow by introducing a tool that optimizes across the downstream supply chain via an integrative perspective that accounts for product and network attributes. The integration involves the major cost activities, such as freight, handling, and inventory costs, or what can be termed the total "Cost-to-Deliver" product from a manufacturing facility to end customers. The proposed optimization framework includes the inter-dependencies of cost drivers across the supply chain that are typically missed when solving in functional silos. We develop a decision support tool to determine optimal product flow across the various nodes within the downstream supply chain (manufacturing, sterilization, and multiple tiers of distribution centers) over a single period horizon that can be extend to multi-periods through a present value approach. This tool enables the decision maker to compare directly the trade-offs between two different constrained flows, as well as vary product parameters within this scenario comparison to uncover ideal product segmentation with respect to flow decisions. To demonstrate the value for the tool, we used it to segment products with respect to the choice of transportation mode on a freight lane. We find that changing the standard transportation mode for several current products would yield five-year net present value savings of 10-35% of their current annual cost-to-deliver. Ultimately the insights gained, and framework leveraged, are relevant to other industries with multinodal supply chains with high-mix products and not just constrained to the Medical Device industry.
Author: M.K. Tiwari
Publisher: CRC Press
ISBN: 146651034X
Category : Business & Economics
Languages : en
Pages : 229
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Book Description
A guide to help readers meet the demands of an evolving competitive business environment, Modeling of Responsive Supply Chain outlines novel concepts and strategies for implementing a fully integrated system of business improvement methodologies. This self-contained reference covers various key aspects of supply chain management, which is crucial to boosting industrial growth in the face of expanding globalization in the manufacturing and transportation sectors. The book focuses on topics that could potentially improve the free flow of goods and services between nations by helping users assess the performance of logistic systems deployed to achieve this end. Chapters present a conventional and evolutionary approach to coordinating all elements of the supply chain to optimize an enterprise’s competitive advantage. The authors explore different models associated with transportation, facility location, and assignments, as well as planning and scheduling. They also address diverse technologies, such as RFID tags used to monitor product flow within the supply chain network. This book addresses the importance of: Recognizing responsiveness as a metric of supply chain performance Domain interfaces for solving the optimization problem by making supply chains more responsive Coordination through contracts to enhance responsiveness System dynamics methodology to achieve responsiveness, as well as management principles, control theory, and computer simulation The use of different types of technologies to build a better supply chain that achieves higher responsiveness Few, if any, single volumes provide the detailed explanation of practical and conceptual approaches found in this book. It covers the entire spectrum of topics and will be equally useful as a reference for scholars and graduate students and as a compendium for practitioners dealing with real-life problems in contemporary supply chain management.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309173418
Category : Technology & Engineering
Languages : en
Pages : 162
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Book Description
The managed flow of goods and information from raw material to final sale also known as a "supply chain" affects everythingâ€"from the U.S. gross domestic product to where you can buy your jeans. The nature of a company's supply chain has a significant effect on its success or failureâ€"as in the success of Dell Computer's make-to-order system and the failure of General Motor's vertical integration during the 1998 United Auto Workers strike. Supply Chain Integration looks at this crucial component of business at a time when product design, manufacture, and delivery are changing radically and globally. This book explores the benefits of continuously improving the relationship between the firm, its suppliers, and its customers to ensure the highest added value. This book identifies the state-of-the-art developments that contribute to the success of vertical tiers of suppliers and relates these developments to the capabilities that small and medium-sized manufacturers must have to be viable participants in this system. Strategies for attaining these capabilities through manufacturing extension centers and other technical assistance providers at the national, state, and local level are suggested. This book identifies action steps for small and medium-sized manufacturersâ€"the "seed corn" of business start-up and developmentâ€"to improve supply chain management. The book examines supply chain models from consultant firms, universities, manufacturers, and associations. Topics include the roles of suppliers and other supply chain participants, the rise of outsourcing, the importance of information management, the natural tension between buyer and seller, sources of assistance to small and medium-sized firms, and a host of other issues. Supply Chain Integration will be of interest to industry policymakers, economists, researchers, business leaders, and forward-thinking executives.
Author: Alexandre Dolgui
Publisher: Springer Science & Business Media
ISBN: 0387235817
Category : Business & Economics
Languages : en
Pages : 293
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Book Description
This volume collects recent results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and advanced computing techniques for design of production systems, supply and inventory management, production planning and scheduling, location, transportation and logistics, and simulation in supply flow optimisation. The text presents a wide spectrum of optimisation problems taking into account supply chain paradigms, which are pivotal to improving productivity.
Author: Xin Li
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Essentially, supply chain management (SCM) is the coordination and integration of the flows of materials, information, and finances across the entire supply chain, which encompasses a wide range of important activities in a companys operation, including supplier management, supply planning, production scheduling, inventory management, etc. Due to the systematic nature of SCM, many of its activities are highly interrelated and should be studied integrally to help the company gain maximum benefit. This dissertation aims at addressing the integrated optimization problems of some critical components in SCM, particularly, for supply- and demand-driven channels in two-stage supply chains. Four specific problems are incorporated in this dissertation.The first problem integrates the decision making process of supplier selection and lot sizing for a manufacturer who orders one type of product from multiple candidate suppliers to fulfill a fixed demand rate. Particularly, we consider the case where suppliers are capacitated and offer a certain type of quantity discount. The products perfect rate varies among suppliers and a minimum average perfect rate is required. Besides, in order to facilitate production plans, which are usually made on a daily/weekly/monthly basis, each placed orders is required to cover the demand corresponding to an interval that is multiple of a given time unit. A cyclic order schedule is employed, where the entire planning horizon is divided into repeating order cycles and the set of selected suppliers and corresponding order quantities and frequencies are determined accordingly so that the total cost per time unit is minimized. The second problem is similar to the first one but considers a different discount scheme, where the unit price of a product depends on the total order quantity of a given supplier over a certain period of time, instead of a discount applied to an individual order. Two cases are considered: order quantities are continuous/integer.A joint order acceptance and scheduling problem is studied as the third problem, which considers the scenario where a manufacturer receives multiple orders characterized by their revenue, processing time, due date, and tardiness penalty per time unit. The manufacturer can be represented as a single-machine system that adopts a make-to-order strategy. Due to the capacity limitation, the manufacturer cannot accept all the orders and needs to determine the optimal set of acceptable orders and the corresponding production schedule simultaneously such that the total profit is maximized. In the fourth problem, we investigate a real-world application of the integrated optimization of supplier (source) selection and supply planning in the shale gas and oil industry. We aim at assessing a novel fracking approach, called CO2 fracking, from an economic perspective, by considering the collection, supply, transportation, and storage of CO2. More specifically, a CO2 source selection and supply planning problem is defined and discussed from three aspects: CO2 collection and storage at sources, CO2 transportation, and CO2 storage and usage at well pads.In each of the problems included in this dissertation, real-world scenarios and factors are considered, and mathematical models are built to describe the problem. Due to the complexity of these models, existing software packages are either inefficient, difficult, or even impossible to use directly. To address this issue, properties of the models are analyzed. Based on the properties, we customize the solution procedures for each problem which either solve the problem optimally or produce near-optimal solutions. For the latter case, we provide the approach to evaluate the quality of the produced solutions. Numerical experiments are presented to illustrate the application the models and evaluate the performance of the proposed solution procedures.
Author: Stuart M. Rosenberg
Publisher: Routledge
ISBN: 1000201198
Category : Business & Economics
Languages : en
Pages : 149
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Book Description
The goal of this book is to gain a clear picture of the current status and future challenges with regard to the digitalization of the supply chain – from the perspective of the suppliers, the manufacturers, and the customers. They were the target groups of the book. Digitization has touched upon all aspects of businesses, including supply chains. Technologies such as RFID, GPS, and sensors have enabled organizations to transform their existing hybrid (combination of paper-based and IT-supported processes) supply chain structures into more f lexible, open, agile, and collaborative digital models. Unlike hybrid supply chain models, which have resulted in rigid organizational structures, unobtainable data, and disjointed relationships with partners, digital supply chains enable business process automation, organizational flexibility, and digital management of corporate assets. In order to reap maximum benefits from digital supply chain models, it is important that companies internalize it as an integral part of the overall business model and organizational structure. Localized disconnected projects and silo-based operations pose a serious threat to competitiveness in an increasingly digital world. The technologies discussed in this text – artificial intelligence, 3D printing, Internet of things, etc. – are beginning to come together to help digitize, automate, integrate, and improve the global supply chains. It’s certainly an exciting and challenging time for both new supply chain professionals and long-time supply chain professionals.
Author: Ashish Bhatnagar
Publisher: Sanbun Publishers
ISBN: 9789380257105
Category : Inventory control
Languages : en
Pages : 276
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Book Description
Author: Wang, John
Publisher: IGI Global
ISBN: 1466609192
Category : Business & Economics
Languages : en
Pages : 450
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Book Description
"This book has compiled chapters from experts from around the world in the field of supply chain management and provides a vital compendium of the latest research, case studies, frameworks, methodologies, architectures, and best practices within the field of supply chain management"--Provided by publisher.
Author: Aswin Dhamodharan
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Supply Chain Network design is an important strategic decision that helps Original Equipment Manufacturers (OEMs) to position their supply chains for profitable reverse supply chains. We observe that between the competitors of technology products, companies such as HP and Xerox (printers) and Apple and Google (smartphones), one competitor (HP and Apple) manages the reverse supply chain to extract value in a profitable manner, while the other competitor (Xerox and Google) uses a third-party reverse logistics company to simply recycle consumer returns. In the literature, supply chain levers, such as consumer Willingness to Pay (WTP) for remanufactured products, managing the collection process of consumer returns, the quality of the consumer returns and the design of reverse logistics have been identified as key factors influencing OEM participation in reverse supply chain. In this thesis, we show that, under the same supply chain levers mentioned above, the OEMs approach to supply chain network design can significantly impact the profitability in the reverse supply chain over the product lifecycle. To address the supply chain network design problem for an OEM, we propose an integrated multi-period optimization model called Product Life Cycle Optimization Model (PLCOM), to design the Closed Loop Supply Chain (CLSC) for the OEMs. The PLCOM is a Mixed Integer Linear Program that consists of a Demand model and a Pricing model. The Pricing model determines the optimal production quantity and the selling price computed over the product life cycle, based on a realistic customer Willingness to Pay (WTP) for new and remanufactured products. The Demand model computes the demand for new and remanufactured products based on the Extended-Basss diffusion model. The PLCOM also computes the cannibalization of new product sales due to the introduction of remanufactured product and the availability of product returns for remanufacturing, constrained by the collection of the returns. The Demand and Pricing models are then integrated into a Mixed Integer Program (MIP) model to design the CLSC network.The PLCOM is applied to a realistic case study using Apples iPhone 7 for a product life cycle of 8 years. The final MIP model has 30 binary variables, 48066 continuous variables and 3972 constraints and was solved using CPlex in 0.1619 seconds. We show that an integrated approach to design the supply chain network by the OEMs is more profitable compared to a sequential approach, where the OEM initially designs the optimal forward supply chain network and implements it. Later, when the OEM decides to participate in the remanufactured market, the OEM revisits the network design to obtain the optimal CLSC for the reverse supply chain. Using sensitivity analysis, we also show that slow diffusing products are more profitable for remanufacturing and fast diffusing products require flexibility in capacity planning, in order to avoid the fixed cost of opening additional facilities. In the case of fast diffusing products, we also observe a delayed surge in demand for remanufactured products caused by a delayed cannibalization effect on new product demand. Finally, a sensitivity analysis on the quality of the consumer returns gives an upper bound on the investment that can be made by the OEM in incentivizing the consumers to improve the quality of the returns.In the technology industry, frequent new product releases entail OEMs to concurrently manage successive generations of products. For example, Apple currently sells multigeneration iPhones, such as iPhone 6S, iPhone 7, iPhone 8 and iPhone X. Hence, we extend the integrated model to a two-generation product setting. We model the demand for the second-generation product as a substitution for the first-generation product. We identify the \textit{logit} function as the substitution function to compute demand for the second-generation product and validate total sales using the iPhone4 and iPhone 4S sales data. The extended PLCOM is again used in a realistic case study based on the consumer WTP for iPhone 7 and iPhone 8 as the successive generations of products. The extended PLCOM has 30 binary variables, 77474 continuous variables and 6470 constraints and the optimization problem was solved using CPlex and the solver took 46 seconds to solve the problem. Finally, we conduct a sensitivity analysis to determine the most profitable time to introduce the second-generation product, characterize the slow and the fast diffusing products in the two-generation product setting and analyze the impact of the quality of consumer returns on the profit.
Author: Tavana, Madjid
Publisher: IGI Global
ISBN: 1466617624
Category : Computers
Languages : en
Pages : 434
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Book Description
"This book is to provide comprehensive coverage and understanding of various enterprise information systems (EIS) such as enterprise resource planning (ERP) and electronic commerce (EC) and their implications on supply chain management and organizational competitiveness"--Provided by publisher.
