Retracted: Using genetic algorithm approach to solve a multi-product EPQ model with defective items, rework, and constrained space

Hafshejani, Kiamars Fathi; Valmohammadi, Changiz; Khakpoor, Alireza

doi:10.1186/2251-712x-8-27

Cited by 13 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The same authors in [26] developed two memetic-based metaheuristics to solve this problem with additional discounts, and compared their efficiency with the parameter-tuned genetic algorithm. Many other examples of multiproduct inventory problem variations and solving methods are presented in recent papers [27][28][29][30][31][32][33][34][35]. Kotb [27], solved a multi-item inventory lot size model with limited storage space and set up cost constraints with varying holding cost using geometric programming approach, while for solving a similar problem Vasanthi and Seshaiah [28] used Karush Kuhn Tucker conditions.…”

Section: Introductionmentioning

confidence: 99%

A metaheuristic approach to solving a multiproduct EOQ-based inventory problem with storage space constraints

et al. 2016

View full text Add to dashboard Cite

This paper considers the well-known static time-continuous multiproduct economic order quantity (EOQ) based inventory management problem with the storage space constraints. This problem is modelled as a combinatorial optimization problem in the corresponding dynamic discrete time system control process. In order to solve this problem approximately, we developed two heuristics: a special heuristic based on a local search technique and a metaheuristic procedure based on the variable neighbourhood search principle. The efficiency of two heuristics is preliminary examined and compared on several randomly generated instances with the same number of products.

show abstract

Section: Introductionmentioning

confidence: 99%

A metaheuristic approach to solving a multiproduct EOQ-based inventory problem with storage space constraints

et al. 2016

View full text Add to dashboard Cite

show abstract

“…This model contained a non-linear integer programming problem and found an optimal solution for the available warehouse by adding space constraints. Through a genetic algorithm with a non-linear cost function and space constraint, a multi-stage inventory model was discussed by Hafshejani et al [25]. An inventory model considering demand and limited space availability, where reliability depends on the unit production costs, was introduced by Mahapatra et al [26].…”

Section: Introductionmentioning

confidence: 99%

Multi-Product Production System with the Reduced Failure Rate and the Optimum Energy Consumption under Variable Demand

2019

View full text Add to dashboard Cite

The advertising of any smart product is crucial in generating customer demand, along with reducing sale prices. Naturally, a decrease in price always increases the demand for any smart product. This study introduces a multi-product production process, taking into consideration the advertising- and price-dependent demands of products, where the failure rate of the production system is reduced under the optimum energy consumption. For long-run production systems, unusual energy consumption and machine failures occur frequently, which are reduced in this study. All costs related with the production system are included in the optimum energy costs. The unit production cost is dependent on the production rate of the machine and its failure rate. The aim of this study is to obtain the optimum profit with a reduced failure rate, under the optimum advertising costs and the optimum sale price. The total profit of the model becomes a complex, non-linear function, with respect to the decision variables. For this reason, the model is solved numerically by an iterative method. However, the global optimality is proved numerically, by using the Hessian matrix. The numerical results obtained show that for smart production, the maximum profit always occurs at the optimum values of the decision variables.

show abstract

“…They found the optimal solution of the model within the available warehouse space by adding a space constraint. Hafshejani et al [24] solved a multi-stage inventory model with a nonlinear cost function and space constraint through a genetic algorithm. Mahapatra et al [25] introduced an inventory model with demand and reliability dependent unit production cost under limited space availability.…”

Section: Introductionmentioning

confidence: 99%

Effect of Energy and Failure Rate in a Multi-Item Smart Production System

Sarkar

Iqbal

2018

Energies

View full text Add to dashboard Cite

To form a smart production system, the effect of energy and machines’ failure rate plays an important role. The main issue is to make a smart production system for complex products that the system may produce several defective items during a long-run production process with an unusual amount of energy consumption. The aim of the model is to obtain the optimum amount of smart lot, the production rate, and the failure rate under the effect of energy. This study contains a multi-item economic imperfect production lot size energy model considering a failure rate as a system design variable under a budget and a space constraint. The model assumes an inspection cost to ensure product’s quality under perfect energy consumption. Failure rate and smart production rate dependent development cost under energy consumption are considered, i.e., lower values of failure rate give higher values of development cost and vice versa under the effect of proper utilization of energy. The manufacturing system moves from in-control state to out-of-control state at a random time. The theory of nonlinear optimization (Kuhn–Tucker method) is employed to solve the model. There is a lemma to obtain the global optimal solution for the model. Two numerical examples, graphical representations, and sensitivity analysis of key parameters are given to illustrate the model.

show abstract

Retracted: Using genetic algorithm approach to solve a multi-product EPQ model with defective items, rework, and constrained space

Abstract: The article was mistakenly published due to a workflow error although it had not been accepted by the Editorial Board of the journal. Springer accepts full responsibility for this and would like to apologize to the authors of the article as well as the Editors and readers of the journals.

Cited by 13 publications

References 10 publications

A metaheuristic approach to solving a multiproduct EOQ-based inventory problem with storage space constraints

A metaheuristic approach to solving a multiproduct EOQ-based inventory problem with storage space constraints

Multi-Product Production System with the Reduced Failure Rate and the Optimum Energy Consumption under Variable Demand

Effect of Energy and Failure Rate in a Multi-Item Smart Production System

Contact Info

Product

Resources

About