Reverse Logistic Inventory Model Research Articles

Sustainability in a Reverse Logistics Inventory Model with Carbon Emission, Reliability and Credit Financing Policy

Sustainability in a Reverse Logistics Inventory Model with Carbon Emission, Reliability and Credit Financing Policy

A reverse Logistics Inventory Model with Consideration of Carbon Tax Policy, Imperfect Production, and Partial Backlogging Under a Sustainable Supply Chain

A reverse Logistics Inventory Model with Consideration of Carbon Tax Policy, Imperfect Production, and Partial Backlogging Under a Sustainable Supply Chain

Impact of Carbon Emission and Volume Flexibility on a Reverse Logistics Inventory Model with Two Levels of Trade Credit Period

Impact of Carbon Emission and Volume Flexibility on a Reverse Logistics Inventory Model with Two Levels of Trade Credit Period

A reverse logistic inventory model with stock and selling price dependent demand under the impact of inflation and learning for non-instantaneous deteriorating products

A reverse logistic inventory model with stock and selling price dependent demand under the impact of inflation and learning for non-instantaneous deteriorating products

A framework for designing and implementing remanufacturing, volume flexibility, and two level of trade credit financing operations in a reverse logistics inventory model

A framework for designing and implementing remanufacturing, volume flexibility, and two level of trade credit financing operations in a reverse logistics inventory model

A reverse logistic inventory model with stock and selling price dependent demand under the impact of inflation and learning for non-instantaneous deteriorating products

A reverse logistic inventory model with stock and selling price dependent demand under the impact of inflation and learning for non-instantaneous deteriorating products

A framework for designing and implementing remanufacturing, volume flexibility, and two levels of trade credit financing operations in a reverse logistics inventory model

A framework for designing and implementing remanufacturing, volume flexibility, and two levels of trade credit financing operations in a reverse logistics inventory model

Fuzzy reverse logistics inventory model of smart items with two warehouses of a retailer considering carbon emissions

Running the business smoothly for protecting the environment is a significant challenge, on which industries are trying something to do at their level best. Reverse logistics play an important role in system design by reducing environmental consequences and increasing economic and social impacts. Given the recent fluctuations of the market, the production cost and ordering cost are considered triangular fuzzy numbers in this study. Customers’ demand is met at the right time, and there is no shortage of items; thus, attention can be paid to two warehouses of a retailer. The setup costs Purchasing costs and deterioration costs of this system are affected by the learning effects, which lead to a decrease in the total cost. Inflation is a significant problem in the market because manufacturing, remanufacturing, and retailers are all affected. This study proposes a reverse logistics system model so that customers can resolve their complaints about defective items and carbon emissions under two warehouses. Numerical results show that the fuzzy model is more economically beneficial than the crisp model, finds that the crisp and fuzzy model saw a difference of 0.34% in total cost. Two numerical examples illustrate this study, and a sensitivity analysis is performed using tables and graph.

A reverse logistics inventory model with multiple production and remanufacturing batches under fuzzy environment

In the last few years, inventory modeling with reverse logistics has received more attention from both the academic world and industries. Most of the existing works in the literature believed that newly produced products and remanufactured products have the same quality. However, in many industries, customers do not consider remanufactured products as good as new ones. Therefore, this study develops a reverse logistics inventory model with multiple production and remanufacturing batches (cycles) under the fuzzy environment where the remanufactured products are of subordinate quality as compared to the newly produced products. As the precise estimation of inventory cost parameters such as holding cost, setup cost, etc. becomes often difficult; so these cost parameters are represented as triangular fuzzy numbers. Used products are purchased, screened and then suitable products are remanufactured. The production and remanufacturing rates are demand dependent. The main goal of this study is to obtain the optimal production and remanufacturing policy that minimizes the total cost per unit time of the proposed inventory system. The signed distance method is employed to defuzzify the total cost function. A numerical example is presented to demonstrate the developed model. Finally, sensitivity analysis is executed to study the impact of key parameters on the optimal solution.

A reverse logistic inventory model for imperfect production process with preservation technology investment under learning and inflationary environment

A reverse logistic inventory model for imperfect production process with preservation technology investment under learning and inflationary environment

Carbon emissions and energy effects on manufacturing–remanufacturing inventory models

Reverse logistics is inevitable in today’s business environment with the most common reasons being product returns, incorrect product delivery, damaged products, and product exchange programs. The use and adoption of reverse logistics has increased with the start of product recalls, but the rise of e-commerce and insight into the positive environmental impact has elevated the formal use and sophistication of reverse logistics. There are many environmental issues that may arise from the production and transportation of products. The focus of this study is to evaluate supply chain environmental implications presented in a reverse logistic setting. These environmental contributions come with associated costs that can no longer be ignored in the mathematical modeling of reverse logistics.The model developed in this paper considers energy used for manufacturing and remanufacturing as well as greenhouse gas emissions from manufacturing, remanufacturing and transportation activities with emissions penalty tax as per The European Union Emissions Trading System. The objective of the model is to develop a total cost function that is minimized by determining the following: the manufacturing batch size per cycle, the number of manufacturing batches per cycle, the number of remanufacturing batches per cycle, and the number of times an item may be remanufactured. Numerical examples are provided.The results show that optimizing for financial costs and all the environmental costs collectively promotes less remanufacturing to protect the environment as opposed to just focusing on solid waste disposal, which has been the focus of previous ‘traditional’ reverse logistics models that consider remanufacturing. In addition, the results show the need to increase the recollection of available used products that can be remanufactured. The proposed model is seen as a preliminary step into developing an environmentally responsible reverse logistics inventory model.

A reverse logistics inventory model for plastic bottles

Purpose – The purpose of this paper is to present an original model for the production-recycling-reuse of plastic beverage bottles. Design/methodology/approach – It is assumed that discarded two-liter plastic polyethylene terephthalate (PET) bottles are collected from the market. The bottles are then sorted into non-contaminated and contaminated streams. The non-contaminated PET bottles are either remanufactured or used as regrind mixed with virgin PET to produce new bottles to satisfy varying demand. The contaminated bottles are either sold to industries using low-grade plastic or disposed of in a landfill. Numerical studies are used to illustrate the behaviour of the model, with an emphasis on exploring the reduction of total system cost and the amount of bottles going into a landfill. Findings – Numerical analyses conducted on the model found that the amount of bottles collected had the largest influence on the outcome of the total system unit time cost. Alternative materials to PET are surveyed and used to demonstrate a significant reduction in the cost of landfill disposal due to their more rapid degradation in the landfill. Research limitations/implications – Several areas for future work are highlighted. Potential modifications to the model could focus on accommodating bottles made of material other than plastic, incorporating the effects of learning on manual tasks, and on accommodating shortages or excess inventory. Originality/value – The model incorporates several unique aspects, including accounting for the cost of land use and associated environmental damage through the calculation of a present value that is charged to the manufacturer.

Imperfect Production System under Reverse Logistics in Stock-Out Situation: EPQ Model

This paper derives a reverse logistic inventory model with imperfect production, stock-dependent demand, flexible manufacturing, and shortages over infinite planning horizon. The objective is to determine the joint policy for optimal production, amount of remanufacturing, collection of reusable items, and collection as well as disposal of defective items which minimizes the total cost of the inventory system under consideration. To make the model more realistic, both of the cases of linear and nonlinear holding costs have been discussed. The results are discussed with a numerical example to illustrate the theory.

An Optimal Returned Policy for a Reverse Logistics Inventory Model with Backorders

Environmental responsibility plays a significant role in the firm’s agendas nowadays. In this paper, we address the environmental operations of reverse logistics. Here we developed an integrated supply chain model with coordinated production and remanufacturing due to time-dependent rates. To study the problem we consider the demand to be satisfied with newly manufactured (produced) and the remanufactured products, so there is no difference between manufactured and remanufactured items. The shortages are allowed and excess demand is backlogged as well. The returned items are collected from the end user to be remanufactured. Optimal expression is obtained for the acceptable returned quantity, maximum inventory level, production and remanufacturing scheduling period, and the total average cost. Illustrative examples, which explain the application of the theoretical results as well as their numerical verifications, are given. The sensitivity of these solutions to change in underling parameter values is also discussed.

Adaptive Control of a Reverse Logistic Inventory Model with Uncertain Deteriorations and Disposal Rates

An adaptive control of a reverse logistic inventory system with unknown deterioration and disposal rates is considered. An adaptive control approach with a feedback is applied to track the inventory levels toward their goal levels. Also, the updating rules of both deterioration and disposal rates are derived from the conditions of asymptotic stability of the reference model. Important characteristics of the adaptive inventory system are discussed. The adaptive controlled system is modeled by a nonlinear system of differential equations. Finally, the numerical solution of the controlled system is discussed and displayed graphically.

An alternative solution to an economic order quantities for recoverable item inventory systems

In this paper we analyze a reverse logistics inventory model investigated by Teunter (2001). Demand of a product can be satisfied with newly manufactured and remanufactured products. The used products are collected and then returned to the manufacturer of the product. The returned items are inspected and some of the used products are disposed outside. The rate of reuse is decision variable in this model. The goal of the decision maker is to minimize the relevant costs. The aim of this paper is to reexamine the proposed model and to improve some small mistakes. First, we show that it is comfortable to determine the batch numbers of the manufacturing and remanufacturing activities, because these decision variables are integer, rather than the manufacturing and remanufacturing lot sizes. Secondly, we show that there exist optimal solutions for the batch numbers inside of the possible set, i.e. both manufacturing and remanufacturing batches could be higher than one. Thirdly, the above mentioned paper have not ana lyzed a case with one batch numbers both manufacturing and remanufacturing. This case can occur for some parameters.

Theory and methodology on the global optimal solution to a General Reverse Logistics Inventory Model for deteriorating items and time-varying rates

In this paper, we present a unified general inventory model for integrated production of new items and remanufacturing of returned items for an infinite planning horizon. Our model considers a production environment that consists of three shops. The first shop is for remanufacturing returned items, the second shop is for manufacturing new items, while the third shop is for collecting returned items to be remanufactured in the first shop. The system is subject to joint production and remanufacturing options, the first one is to produce new items while the second one is to reproduce/recycle the returned items “as-good-as new”. Items deteriorate while they are in storage, and production, remanufacturing, demand, return, and deterioration rates are arbitrary functions of time. A closed form for the total relevant costs as well as a rigorous mathematical proof, which shows the global optimality of the solution to the underlying inventory system are introduced. Illustrative examples, which explain the application of the theoretical results as well as their numerical verifications, are also given.

THE ANALYSIS OF AN EXTENDED AVERAGE COST INVENTORY MODEL FOR REVERSE LOGISTIC PLANNING

ABSTRACT Because of the increasing environmental consciousness and prevalence of resources reviving concept, promoting products reverse logistic system in order to carry out products recycling and remanufacturing has became a very important issue. This paper focuses on reverse logistic system planning by investigating end-of-life (EOL) product material flow and inventory management models. Based on the research of reverse logistic average cost inventory model by Teunter and van der Laan [6], we suggest an extended reverse logistic inventory model, which includes the operation of product decomposing in order to carry out parts and materials recycling, reusing and remanufacturing in the system. By adding such a capability, our goal is to conduct an extended inventory total cost model evaluation in order to achieve a better environmental awareness decision for reverse logistic planning. In the paper, the GA mathematic algorithm is used as a tool to analyze results of average cost inventory model for constructing a better reverse logistic planning decision model.