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Managing Perishable Inventory Systems with Product Returns and Remanufacturing

Managing Perishable Inventory Systems with Product Returns and Remanufacturing
Author: Ke Fu
Publisher:
Total Pages: 0
Release: 2019
Genre:
ISBN:

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Motivated by emerging practice in the cut flower industry, we consider a periodic-review inventory system for a perishable product with a lifetime of two periods. There are two separate customer demands for the new product with two-period remaining lifetime and the old product with one-period remaining lifetime, and a fixed proportion of the unsatisfied demand for one product will purchase the other product as a substitute. One distinctive feature of our system is that a random portion of the sold new product is returned and can be remanufactured and re-marketed as the old product for sale. The objective is to maximize the expected total discounted profit over a finite planning horizon. We show that the optimal remanufacturing policy is a modified base-stock policy, and that the optimal manufacturing quantity of the new product decreases in the inventory level of the old product after remanufacturing. Furthermore, when the inventory level of the old product is large, the optimal manufacturing quantity asymptotically approaches a constant, which is lower and upper bounded by two newsvendor fractile solutions. We also conduct a numerical study to derive insights into the effects of remanufacturing and demand substitution. In particular, we show that remanufacturing can be a powerful way of mitigating negative environmental impacts in the cut flower industry. Finally, we discuss two model extensions that allow a joint production capacity and a multi-period lifetime.


Research Handbook on Inventory Management

Research Handbook on Inventory Management
Author: Jing-Sheng J. Song
Publisher: Edward Elgar Publishing
Total Pages: 565
Release: 2023-08-14
Genre: Technology & Engineering
ISBN: 180037710X

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This comprehensive Handbook provides an overview of state-of-the-art research on quantitative models for inventory management. Despite over half a century’s progress, inventory management remains a challenge, as evidenced by the recent Covid-19 pandemic. With an expanse of world-renowned inventory scholars from major international research universities, this Handbook explores key areas including mathematical modelling, the interplay of inventory decisions and other business decisions and the unique challenges posed to multiple industries.


Dynamic Inventory Management in Reverse Logistics

Dynamic Inventory Management in Reverse Logistics
Author: Rainer Kleber
Publisher: Springer Science & Business Media
Total Pages: 191
Release: 2007-02-02
Genre: Business & Economics
ISBN: 3540332308

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The integration of product recovery into regular production processes enables new opportunities for cost savings. In case of a dynamic planning situation, for instance when dealing with seasonality or the product life cycle, new motives for keeping stock arise. The work aims to identify those motives and to describe their effects by using methods of optimal control theory.


Proceedings of the Fifteenth International Conference on Management Science and Engineering Management

Proceedings of the Fifteenth International Conference on Management Science and Engineering Management
Author: Jiuping Xu
Publisher: Springer Nature
Total Pages: 871
Release: 2021-07-30
Genre: Technology & Engineering
ISBN: 3030792064

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This book gathers the proceedings of the fifteenth International Conference on Management Science and Engineering Management (ICMSEM 2021) held on August 1-4, 2021, at the University of Castilla-La Mancha (UCLM), Toledo, Spain. The proceedings contains theoretical and practical research of decision support systems, complex systems, empirical studies, sustainable development, project management, and operation optimization, showing advanced management concepts and demonstrates substantial interdisciplinary developments in MSEM methods and practical applications. It allows researchers and practitioners in management science and engineering management (MSEM) to share their latest insights and contribution. Meanwhile, it appeals to readers interested in these areas, especially those looking for new ideas and research directions.


Pursuing Sustainability

Pursuing Sustainability
Author: Chialin Chen
Publisher: Springer Nature
Total Pages: 408
Release: 2021-03-03
Genre: Business & Economics
ISBN: 3030580237

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This handbook includes three parts, corresponding to the following three domains of OR/MS research related to sustainability: (i) Systems Design, Innovation, and Technology, (ii) Manufacturing, Logistics, and Transportation, and (iii) Sustainable Natural Resource Management. The first part of the handbook (Chapters 2-6) will focus on the creation and development of sustainable products, services, value chains, and organizations from a systems perspective. Key areas to be covered include Green Design & Innovation, Technology and Engineering Management, Sustainable Value Chain Systems, Sustainability Standards and Performance Evaluation, and Circular Economy and New Research Directions in Sustainability. The second part of the handbook (Chapters 7-11) will concentrate on the major operational and logistic issues faced by today’s industries in pursuing sustainability. Key areas to be covered include Remanufacturing, Reverse Logistics, Closed-Loop Supply Chains, Sustainable Transportation, and New Research Directions in Green Supply Chain Management. The third part of the proposed handbook (Chapters 12-16) will center on major sustainability issues in managing engineering infrastructure and natural resources. Key areas to be covered include Renewable Energy, Sustainable Water Resource, Biofuel Infrastructure, Natural Gas, and New Research Direction in Sustainable Resource Management. The handbook aims to bridge the three main OR/MS research domains in sustainability: “Systems Design, Innovation, and Technology,” “Manufacturing, Logistics, and Transportation,” and “Sustainable Natural Resource Management.” Traditionally, these domains are treated separately in the OR/MS literature. By combining the three domains, the handbook will provide a more holistic treatment of MS/OR methodologies to address critical sustainability issues faced by today’s society. Unlike most existing handbooks which only focus on current OR/MS research in sustainability within a domain, this handbook will include a concluding chapter in each of the three parts to discuss and identify potential future research directions in each of the three main domains.


Perishable Inventory Systems

Perishable Inventory Systems
Author: Steven Nahmias
Publisher: Springer Science & Business Media
Total Pages: 89
Release: 2011-05-17
Genre: Business & Economics
ISBN: 1441979999

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A perishable item is one that has constant utility up until an expiration date (which may be known or uncertain), at which point the utility drops to zero. This includes many types of packaged foods such as milk, cheese, processed meats, and canned goods. It also includes virtually all pharmaceuticals and photographic film, as well as whole blood supplies. This book is the first devoted solely to perishable inventory systems. The book’s ten chapters first cover the preliminaries of periodic review versus continuous review and look at a one-period newsvendor perishable inventory model. The author moves to the basic multiperiod dynamic model, and then considers the extensions of random lifetime, inclusion of a set-up cost, and multiproduct models of perishables. A chapter on continuous review models looks at one-for-one policies, models with zero lead time, optimal policies with positive lead time, and an alternative approach. Additional chapters present material on approximate order policies, inventory depletion management, and deterministic models, including the basic EOQ model with perishability and the dynamic deterministic model with perishability. Finally, chapters explore decaying inventories, queues with impatient customers, and blood bank inventory control. Anyone researching perishable inventory systems will find much to work with here. Practitioners and consultants will also now have a single well-referenced source of up-to-date information to work with.


Managing Perishable Inventory Systems with Multiple Demand Classes

Managing Perishable Inventory Systems with Multiple Demand Classes
Author: Hossein Abouee Mehrizi
Publisher:
Total Pages: 42
Release: 2018
Genre:
ISBN:

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In this paper, we study a multi-period stochastic perishable inventory system with multiple demand classes that require products of different ages. The firm orders the product with a positive leadtime and sells it to multiple demand classes, each only accepting products with remaining lifetime longer than a threshold. In each period, after demand realization, the firm decides how to allocate the on-hand inventory to different demand classes with different backorder or lost-sale cost. At the end of each period, the firm can dispose inventory of any age. We formulate this problem as a Markov decision process and characterize the optimal ordering, allocation, and disposal policies. When unfulfilled demand is backlogged, we show that the optimal order quantity is decreasing in the inventory levels and is more sensitive to the inventory level of fresher products, the optimal allocation policy is a sequential rationing policy, and the optimal disposal policy is characterized by a set of thresholds. For the lost-sale case, we show that the optimal allocation and disposal policies have the same structure but the optimal ordering policy may be different. Based on the structure of the optimal policy, we develop an efficient heuristic that is at most 4% away from the optimal cost in our numerical examples. Using numerical studies, we show that the ordering and allocation policies are close to optimal even if the firm cannot intentionally dispose products. Moreover, ignoring the difference between demand classes and using a simple allocation policy (e.g., FIFO) can significantly increase the total cost. We examine how the firm can improve the control of perishable items and show that the benefit of decreasing the leadtime is more significant than that of increasing the lifetime of the products or that of decreasing the acceptance threshold of the demand. The analysis is extended to systems with age dependent disposal cost and stochastic supply.


Managing Perishable Inventory Systems as Non-Perishable Ones

Managing Perishable Inventory Systems as Non-Perishable Ones
Author: Hailun Zhang
Publisher:
Total Pages: 0
Release: 2018
Genre:
ISBN:

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Perishable inventory problems have a long history and involve two fundamental decisions, how much to order and how much old inventory to clear before expiration, that are known to be difficult to optimize due to the curse of dimensionality. Most early work ignores the clearance decision and focuses solely on the ordering decision until recently where heuristic clearance policies have been developed. In this paper, we approach the problem from a different angle by exploring its asymptotic behavior, i.e., perishability can be ignored in many cases and hence clearance of inventory is not necessary except at the beginning of the planning horizon when a system is large enough. Inspired by such asymptotic behavior, we examine simple policies that ignore clearance under minor conditions and establish theoretical bounds for them. The bounds not only vanish asymptotically, but also indicate a system size required to guarantee any given optimality gap. Numerical studies suggest that such policies can work very well for systems with reasonable sizes and practical management of complex perishable inventory systems is not so much harder than that of non-perishable ones.


Managing Perishable Inventory Systems With Age-Differentiated Demand

Managing Perishable Inventory Systems With Age-Differentiated Demand
Author: Shouchang Chen
Publisher:
Total Pages: 62
Release: 2020
Genre:
ISBN:

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We consider a periodic-review perishable inventory system with multiple demand classes, each characterized by a different lost-sales cost and a least freshness requirement. Demands of different classes in the same period can be correlated, while demands across periods are independent but not necessarily identical. In each period, the firm jointly makes the decisions regarding inventory issuing, rationing, production/ordering, and disposal. The objective is to minimize the total discounted expected cost over the entire planning horizon including linear ordering cost, inventory holding/lost-sales cost, expiration cost and disposal cost. By establishing new properties of multimodularity, we are able to explore some monotonicity and bounded sensitivity properties of the optimal policies and show that the optimal inventory issuing policy follows the first-in-first-out (FIFO) rule. The optimality analysis enables us to propose a novel heuristic, called adaptive approximation approach, which can be recursively calculated through a single-dimension dynamic program. Numerical studies demonstrate that our proposed approximation approach is nearly optimal with the average optimality gap 0.30% and significantly outperforms existing heuristics studied in the literature. Another important observation from numerical studies is that ignoring customers' freshness requirements can lead to a significant increase in total costs. Our heuristic idea can also be applied to the setting with the last-in-first-out (LIFO) issuing rule and still performs rather well.