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Author: Mutlib Algannas
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 120
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Book Description
This dissertation develops a multi-objective framework for optimal replenishment strategy for perishable product to optimize revenue and transportation costs considering shelf life and delivery planning objectives under varying price scenario. Varying prices restrictions of shelf life time for product is introduced into this model to maximize the total profit of supply chain for perishable product. Using the frameworks developed, optimal delivery schedules for perishable products when the product prices vary based on the deteriorated or remaining shelf life of the product are determined. In this dissertation, mixed integer nonlinear (MINLP) mathematical models are developed for multi-objective problems with an objective to maximize revenue while taking into consideration shelf life, and minimization of transportation cost in order to determine the best schedule for delivery. The objective of the next research is in the study of location-allocation of depots for the development of supply chains of perishable products in which the prices depend on the time of delivery. This study developed models with an objective to maximize revenue while determining the need for adding new depots in order to minimize the total cost of the supply chain while meeting the due dates for delivery of the perishable product. MINLP models are developed for maximization of revenue while taking into consideration shelf life, the costs associated with depots, and minimization of transportation cost while meeting due dates for delivery. The last research objective in this dissertation develops a multi-objective optimal replenishment strategy for perishable product to optimize revenue and transportation costs considering shelf life and flexible customer demands. This research extends the initial objective to include demand profiles for multiple days for each retailer with an objective to maximize the total profit of the supply chain for perishable product.
Author: Mutlib Algannas
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 120
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Book Description
This dissertation develops a multi-objective framework for optimal replenishment strategy for perishable product to optimize revenue and transportation costs considering shelf life and delivery planning objectives under varying price scenario. Varying prices restrictions of shelf life time for product is introduced into this model to maximize the total profit of supply chain for perishable product. Using the frameworks developed, optimal delivery schedules for perishable products when the product prices vary based on the deteriorated or remaining shelf life of the product are determined. In this dissertation, mixed integer nonlinear (MINLP) mathematical models are developed for multi-objective problems with an objective to maximize revenue while taking into consideration shelf life, and minimization of transportation cost in order to determine the best schedule for delivery. The objective of the next research is in the study of location-allocation of depots for the development of supply chains of perishable products in which the prices depend on the time of delivery. This study developed models with an objective to maximize revenue while determining the need for adding new depots in order to minimize the total cost of the supply chain while meeting the due dates for delivery of the perishable product. MINLP models are developed for maximization of revenue while taking into consideration shelf life, the costs associated with depots, and minimization of transportation cost while meeting due dates for delivery. The last research objective in this dissertation develops a multi-objective optimal replenishment strategy for perishable product to optimize revenue and transportation costs considering shelf life and flexible customer demands. This research extends the initial objective to include demand profiles for multiple days for each retailer with an objective to maximize the total profit of the supply chain for perishable product.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799809463
Category : Business & Economics
Languages : en
Pages : 2148
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Book Description
Business practices are constantly evolving in order to meet growing customer demands. Evaluating the role of logistics and supply chain management skills or applications is necessary for the success of any organization or business. As market competition becomes more aggressive, it is crucial to evaluate ways in which a business can maintain a strategic edge over competitors. Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications is a vital reference source that centers on the effective management of risk factors and the implementation of the latest supply management strategies. It also explores the field of digital supply chain optimization and business transformation. Highlighting a range of topics such as inventory management, competitive advantage, and transport management, this multi-volume book is ideally designed for business managers, supply chain managers, business professionals, academicians, researchers, and upper-level students in the field of supply chain management, operations management, logistics, and operations research.
Author: Riccardo Accorsi
Publisher: Academic Press
ISBN: 0128134127
Category : Technology & Engineering
Languages : en
Pages : 394
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Book Description
Sustainable Food Supply Chains: Planning, Design, and Control through Interdisciplinary Methodologies provides integrated and practicable solutions that aid planners and entrepreneurs in the design and optimization of food production-distribution systems and operations and drives change toward sustainable food ecosystems. With synthesized coverage of the academic literature, this book integrates the quantitative models and tools that address each step of food supply chain operations to provide readers with easy access to support-decision quantitative and practicable methods. Broken into three parts, the book begins with an introduction and problem statement. The second part presents quantitative models and tools as an integrated framework for the food supply chain system and operations design. The book concludes with the presentation of case studies and applications focused on specific food chains. Sustainable Food Supply Chains: Planning, Design, and Control through Interdisciplinary Methodologies will be an indispensable resource for food scientists, practitioners and graduate students studying food systems and other related disciplines. Contains quantitative models and tools that address the interconnected areas of the food supply chain Synthesizes academic literature related to sustainable food supply chains Deals with interdisciplinary fields of research (Industrial Systems Engineering, Food Science, Packaging Science, Decision Science, Logistics and Facility Management, Supply Chain Management, Agriculture and Land-use Planning) that dominate food supply chain systems and operations Includes case studies and applications
Author: Chi-Kin Chan
Publisher: IGI Global
ISBN: 9781591403043
Category : Business & Economics
Languages : en
Pages : 278
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Book Description
In light of today's fast paced, globalized economy, there is an increasing need for organizations to produce products and use resources more effectively and efficiently. This book provides the tools and techniques for organizations to streamline their supply chains.
Author: Saleh Yahya Alghamdi
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 104
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Book Description
The optimization of delivery plan is a critical issue, especially for multiple perishable products in any profitable organization. This paper develops a model for the efficient implementation of supply chain systems for multiple perishable products. The mathematical model developed maximizes the profit while taking into consideration shelf life and the cost of transportation. The price or value of products is affected by its remaining shelf-life. An optimal delivery plan is developed based on shelf-life, time to transport the perishable products within the network reaching to retailer, while including the minimization of transportation cost in the model. In addition, the optimal delivery plan identifies the right quantity of each type of perishable products to be delivered. In this research, a mathematical model is utilized for solving the multi-objective mathematical problem, which includes revenue maximization, and minimization of transportation models to perform an optimal delivery plan. This paper’s central aim is to maximize the gross profit while identifying the best delivery method for multiple perishable products.
Author: Golnar Behzadi
Publisher:
ISBN:
Category : Agricultural industries
Languages : en
Pages : 215
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Book Description
Agribusiness supply chains (ASCs) involve more sources of uncertainty than typical manufacturing supply chains due to characteristics such as long supply lead-times, seasonality, and perishability. Such characteristics make ASCs especially vulnerable to supply and demand disruptions. Thus, a novel approach to risk management (RM) is required. This thesis focuses on RM strategies for managing disruptions ASCs and investigates how different RM strategies may be used to design resilient ASCs. First, we investigate the usefulness of different RM strategies in a real-life case study of Zespri's kiwifruit supply chain under supply- and demand-side disruptions. We use optimisation models in order to find the best sets of RM strategies for managing key supply- and demand-side disruption risks. For supply-side disruptions, we investigate the effectiveness of a number of robust and resilient strategies. We develop a two-stage stochastic programming model, which integrates perishability, to conduct our analysis. The model maximises the expected profit by selecting optimal RM strategies and by making optimal tactical supply chain planning decisions. The results suggest that a mixed combination of robust and resilient strategies are most effective for mitigating supply-side disruptions; and as perishability increases, RM provides a greater relative improvement in the expected profit. Then for demand-side disruptions, we focus on RM strategies to ensure that ASCs are flexible enough to respond to market disruptions quickly and efficiently. Hence, we investigate the effectiveness of multiple RM strategies for building flexibility. A robust optimisation formulation is used to obtain solutions for an objective combining expected profit and risk. The results show that the proposed demand-based RM strategies improve both expected profit and risk measures. Although market-related RM strategies are important for both risk-neutral and risk-averse decision makers, only risk-averse decision makers are interested in transshipment related RM strategy. Next, we simplify these supply and demand disruptions down to a single type, namely port disruptions (either in the supply- or demand-side of the supply chain) in order to study the problem analytically. We also define a variety of resilience measures and investigate the impact of RM on these measures as well as profit. For this problem, the strategy for managing risk is either a risk acceptance (RA) strategy or a backup transportation strategy, which has variable backup capacity during port closure disruptions (i.e., different proportions of backup capacity can be replaced in each disruption period). We derive optimal decisions for supply chain planning and for when to use each strategy and how that strategy should be used. These optimal decisions on RM strategy depend on the fixed and variable costs of the strategy as well as the supply chain's costs/profit and the level of perishability. Hence, this study provides a RM strategy selection framework and suggests that we should not select the strategy based solely on the cost and benefit of the strategy but also based on the specific supply chain context. Overall, this thesis provides investigations on RM strategies to build resilience in ASCs under key supply- and demand-side disruption risks. The thesis particularly focuses on RM strategies that improve the recovery capacity in ASCs with perishable products.
Author: Hing Kai Chan
Publisher: Springer Science & Business Media
ISBN: 1447140338
Category : Technology & Engineering
Languages : en
Pages : 262
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Book Description
Effective supply chain integration, and the tight co-ordination it creates, is an essential pre-requisite for successful supply chain management. Decision-Making for Supply Chain Integration is a practical reference on recent research in the area of supply chain integration focusing on distributed decision-making problems. Recent applications of various decision-making tools for integrating supply chains are covered including chapters focusing on: Supplier selection, pricing strategy and inventory decisions in multi-level supply chains, RFID-enabled distributed decision-making, Operational risk issues and time-critical decision-making for sensitive logistics nodes, Modelling end to end processes to improve supply chain integration, and Integrated systems to improve service delivery and optimize resource use. Decision-Making for Supply Chain Integration provides an insight into the tools and methodologies of this field with support from real-life case studies demonstrating successful application of various decision-making techniques. By covering such a range of topics in this way, Decision-Making for Supply Chain Integration is a useful reference for researchers looking to develop their knowledge or find potential new avenues of research.
Author: Barbara B. Flynn
Publisher: CRC Press
ISBN: 1439815569
Category : Business & Economics
Languages : en
Pages : 416
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Book Description
This book draws together key insights from the relevant literature across diverse disciplines and presents detailed research case studies of six extended global supply chains in three industries: toys, food, and pharmaceuticals. These case studies cover U.S. companies with supply chains that extend into China and include the perspectives of U.S. and Chinese executives. The book then presents a conceptual model that synthesizes the literature and case studies, and describes the ways in which alternative product recall strategies influence consumers' perception of an organization's corporate social legitimacy and consumers' future purchasing behaviors.
Author: Linlin Ma (Industrial engineer)
Publisher:
ISBN:
Category : Business logistics
Languages : en
Pages : 69
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Book Description
This paper presents solutions to the grocery industry's perishable inventory problem. To meet their customers' increasing desire for various kinds of perishable products from all over the world, management must deal with widely different suppliers and customers. They must make optimal operational decisions on how to handle procurement and distribution of ordered items. This is crucial to their profit margin especially when dealing with the deterioration of time sensitive goods in transit. This thesis analyzes when products should be ordered, how much of perishable items should be replenished and how goods are allocated to retail stores. A three-level supply chain is studied in this model, which consists of non-identical suppliers, distribution centers and retail stores. Existing models in the related literature often have negligible or identical lead-times of suppliers, and sole source suppliers taking advantage of their exclusivity. However, a grocery company usually has various suppliers (with quantity discounts) and operates multiple warehouses and retail stores. This research will focus on this more comprehensive scenario. Another problem in previous models is FIFO (First-In-First-Out) or LIFO (Last-In-First-Out) inventory policy, since the decreasing price towards the end of the shelf life has a negative impact on revenue. However, in order to achieve the highest profit, optimal decisions are based upon items in each stage of aging. The results will show comparison among the three inventory policies under different decay models.
Author: Eleftherios Iakovou
Publisher: John Wiley & Sons
ISBN: 1118930754
Category : Technology & Engineering
Languages : en
Pages : 335
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Book Description
An interdisciplinary framework for managing sustainable agrifood supply chains Supply Chain Management for Sustainable Food Networks provides an up-to-date and interdisciplinary framework for designing and operating sustainable supply chains for agri-food products. Focus is given to decision-making procedures and methodologies enabling policy-makers, managers and practitioners to design and manage effectively sustainable agrifood supply chain networks. Authored by high profile researchers with global expertise in designing and operating sustainable supply chains in the agri-food industry, this book: Features the entire hierarchical decision-making process for managing sustainable agrifood supply chains. Covers knowledge-based farming, management of agricultural wastes, sustainability, green supply chain network design, safety, security and traceability, IT in agrifood supply chains, carbon footprint management, quality management, risk management and policy- making. Explores green supply chain management, sustainable knowledge-based farming, corporate social responsibility, environmental management and emerging trends in agri-food retail supply chain operations. Examines sustainable practices that are unique for agriculture as well as practices that already have been implemented in other industrial sectors such as green logistics and Corporate Social Responsibility (CSR). Supply Chain Management for Sustainable Food Networks provides a useful resource for researchers, practitioners, policy-makers, regulators and C-level executives that deal with strategic decision-making. Post-graduate students in the field of agriculture sciences, engineering, operations management, logistics and supply chain management will also benefit from this book.
