Carbon emissions and energy effects on manufacturing–remanufacturing inventory models

Bazan, Ehab; Jaber, Mohamad Y.; Saadany, Ahmed M.A. El

doi:10.1016/j.cie.2015.07.002

Cited by 142 publications

(47 citation statements)

References 27 publications

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“…Bazan et al [6] investigated energy consumption for production and transportation activities related to supply chain management. Bazan et al [25] investigated closed-loop supply chain under energy usage from the production process.…”

Section: Introductionmentioning

confidence: 99%

Economic Analysis of an Integrated Production–Inventory System under Stochastic Production Capacity and Energy Consumption

2019

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Expensive power cost is a significant concern in today’s manufacturing world. Reduction in energy consumption is an ultimate measure towards achieving manufacturing efficiency and emissions control. In the existing literature of scheduling problems, the consumption of energy is considered uncertain under the dimensions of uncertain demand and supply. In reality, it is a random parameter that also depends on production capacity, manufacturing technology, and operational condition of the manufacturing system. As the unit production cost varies with production rate and reliability of the manufacturing system, the energy consumption of the system also varies accordingly. Therefore, this study investigated an unreliable manufacturing system under stochastic production capacities and energy consumption. A stochastic production–inventory policy is developed to optimize production quantity, production rate, and manufacturing reliability under variable energy consumption costs. As energy consumption varies in different operational states of manufacturing, we consider three specific states of power consumption, namely working, idle, and repair time, for an integrated production–maintenance model. The considered production system is subjected to stochastic failure and repair time, where productivity and manufacturing reliability is improved through additional technology investment. The robustness of the model is shown through numerical example, comparative study, and sensitivity analysis of model parameters. Several graphical illustrations are also provided to obtain meaningful managerial insights.

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Section: Introductionmentioning

confidence: 99%

Economic Analysis of an Integrated Production–Inventory System under Stochastic Production Capacity and Energy Consumption

2019

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“…Bazan et al (2015a) extended and compared the works of Jaber et al (2013) and Zanoni et al (2014) by developing the mathematical model for a two-echelon supply chain system that considered the energy used for production. Bazan et al (2015b; extended their previous work and investigated a reverse logistic model and considered emissions from manufacturing, remanufacturing and transportation activities.…”

Section: Direct Emissionmentioning

confidence: 99%

Greenhouse gas penalty and incentive policies for a joint economic lot size model with industrial and transport emissions

Wangsa¹

2017

10.5267/j.ijiec

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This paper presents a joint economic lot size model for a single manufacturer-a single buyer. The purposed model involves the greenhouse gas emission from industrial and transport sectors. We divide the emission into two types, namely the direct and indirect emissions. In this paper, we consider the Government's penalty and incentive policies to reduce the emission. We assume that the demand of the buyer is normally distributed and partially backordered. The objective is to minimize joint total cost incurred by a single manufacturer-a single buyer and involves the transportation costs of the freight forwarder. Transportation costs are the function of shipping weight, distance, fuel price and consumption with two transportation modes: truckload and lessthan-truckload shipments. Finally, an algorithm procedure is proposed to determine the optimal order quantity, safety factor, actual shipping weight, total emission and frequency of deliveries. Numerical examples and analyses are given to illustrate the results.

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“…The set of constraints given by equation (7), determines that for each reprocessing center, its production of product p, is equal to or less than the percentage of product p in tire n, by the percentage of utilization of total waste They enter the reprocessing plant. The set of constraints given by equation (8), establishes the amount of waste generated in the reprocessing center and sent to final disposal. Table 1 shows the type of results obtained from the model for a given scenario of demand.…”

Section: Modelmentioning

confidence: 99%

“…The difficulties arise when the consumer has dissatisfaction with the product and therefore he/she wants to return it or just not all the quantity is consumed and expires generating waste. Due to this problem, it is necessary to implement reverse logistics in organizations, where waste can be managed from the customer to the company, all with the aim of recovering value contained in the waste [8] [9].…”

Section: Introductionmentioning

confidence: 99%

A Model for Design of a Reverse Logistics Network Under Extended Producer Responsibility

Sepúlveda¹,

Banguera²

2018

dtetr

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The paper develops a mixed integer linear programming model for capacitated facility location which allows the optimal design of a reverse logistics network and illustrates its application in the case of out-of-use tires. These tires are generated in service networks and garages, as in many large cities, and their use includes the possible production of raw materials derived from rubber and the use as fuel for certain industries such as cement. Optimal flows are generated, configuration of collection and recycling facilities is determined, and estimation of the monetary transfers necessary for the feasible operation of the system is estimated. The model must meet recycling targets and minimize the cost of fines in case of infeasibility, through relaxation of constraints.

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Carbon emissions and energy effects on manufacturing–remanufacturing inventory models

Cited by 142 publications

References 27 publications

Economic Analysis of an Integrated Production–Inventory System under Stochastic Production Capacity and Energy Consumption

Economic Analysis of an Integrated Production–Inventory System under Stochastic Production Capacity and Energy Consumption

Greenhouse gas penalty and incentive policies for a joint economic lot size model with industrial and transport emissions

A Model for Design of a Reverse Logistics Network Under Extended Producer Responsibility

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