Production Scheduling for Damageable Items with Demand and Cost Flexibility Using Genetic Algorithm

Dem, Himani; Singh, S.R.

doi:10.1007/978-81-322-0491-6_68

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…Singh and Singh (2011) developed an imperfect production process with exponential demand rate and Weibull distribution deterioration under inflation. Dem and Singh (2012) developed production scheduling for damageable items with demand and cost flexibility using genetic algorithm. Dem and Singh (2013) developed a production model for ameliorating items with quality consideration.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal strategy for an inventory model based on agile manufacturing under imperfect production process

Dem

Singh

Parasher

2019

IJMOR

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This paper presents a production inventory model over infinite planning horizon with manufacturing process producing both perfect as well as imperfect items. Demand is stock dependent for perfect quality items and for imperfect items it depends on the reduction rate of selling price and the amount of imperfect production. The production rate is a function of demand. Reliability of the manufacturing system is assumed to be exponentially decreasing function of time. The objective is to determine the optimal policy for production system which maximises the total profit subject to some constraints under consideration. The results are discussed with a numerical example to illustrate the theory. The effects of important parameters on decision policy are also analysed through sensitivity analysis.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal strategy for an inventory model based on agile manufacturing under imperfect production process

Dem

Singh

Parasher

2019

IJMOR

Self Cite

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“…Yadav et al (2012) developed an inventory model of deteriorating items with stock dependent demand using genetic algorithm in fuzzy environment. Dem and Singh (2012) investigated an EPQ model for damageable items with multivariate demand and flexible manufacturing. Dem and Singh (2013) developed a production model for imperfect production process under volume flexibility.…”

Section: Literature Reviewmentioning

confidence: 99%

A production inventory model with flexible manufacturing, random machine breakdown and stochastic repair time

Singh¹,

Prasher²

2014

10.5267/j.ijiec

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This paper derives a production inventory model over infinite planning horizon with flexible but unreliable manufacturing process and the stochastic repair time. Demand is stock dependent and during the period of sale it depends on reduction on selling price. Production rate is a function of demand and reliability of the production equipment is assumed to be exponentially decreasing function of time. Repair time is estimated using uniform probability density function. The objective of the study is to determine the optimal policy for production system, which maximizes the total profit subject to some constraints under consideration. The results are discussed with a numerical example to illustrate the theory.

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“…Yadav et al [32] developed an inventory model of deteriorating items with stock-dependent demand using genetic algorithm in fuzzy environment. Dem and Singh [33] investigated an EPQ model for damageable items with multivariate demand and flexible manufacturing. Dem and Singh [34] developed a production model for imperfect production process under volume flexibility.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Dem

Prasher

2013

Advances in Decision Sciences

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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.

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Production Scheduling for Damageable Items with Demand and Cost Flexibility Using Genetic Algorithm

Cited by 7 publications

References 25 publications

Optimal strategy for an inventory model based on agile manufacturing under imperfect production process

Optimal strategy for an inventory model based on agile manufacturing under imperfect production process

A production inventory model with flexible manufacturing, random machine breakdown and stochastic repair time

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

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