Two-echelon fuzzy stochastic supply chain for the manufacturer–buyer integrated production–inventory system

Kumar, Ravi Shankar; Tiwari, Manoj Kumar; Goswami, Adrijit

doi:10.1007/s10845-014-0921-8

Cited by 40 publications

(19 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, the scientific community has proposed numerous studies to adaptation to the incertitude of the market and the fast demand variations aiming to optimize and integrate different manufacturing problems, inventory and SCM so that in an agile and flexible way, it minimizes costs and attend efficiently the client's orders. (consult Bandyopadhyay and Bhattacharya 2014;Baud-Lavigne et al 2014;Diabat et al 2015;Ghiami et al 2013;Hiremath et al 2013;Haq and Boddu 2014;Kumar et al 2014;Mousavi et al 2013Mousavi et al , 2014Park and Kyung 2014;Sadeghi et al 2014;Triki et al 2014;Xiang et al 2014;Yao and Huang 2014;İnkaya and Akansel 15).…”

Section: Contextualization and Rationalementioning

confidence: 99%

A Genetic Algorithm applied to pick sequencing for billing

2015

View full text Add to dashboard Cite

This article addresses the use of Holland's Genetic Algorithms (GAs) (Holland in Adaptation in natural and artificial systems, University of Michigan Press, Ann Arbor, MI, 1975) in solving an optimization problem not exploited yet by literature, which we have named Optimal Billing Sequencing (OBS). The objective of the GA proposed is to automate pick sequencing, which addresses the process of allocating the stock available for sale to the purchase orders in a portfolio, so that the maximization of the billing is the optimal result for the OBS. A modelling and computational simulation methodology has been employed. Such methodology is designed to enable the GA to meet the boundary conditions established by predefined decision restrictions and parameters. We have reached the conclusion, by means of experimental tests, that the GA developed satisfactorily solves the problem studied. In addition to a low computational overhead, the GA reduces operating costs and speeds picking decision-making processes and billing processes.

show abstract

Section: Contextualization and Rationalementioning

confidence: 99%

A Genetic Algorithm applied to pick sequencing for billing

2015

View full text Add to dashboard Cite

show abstract

“…Hill [1] first considered ramp-type demand into an inventory problem and derived an EOQ formula. After that many authors have modeled it for deteriorating items' inventory problem such as [4][5][6][7][8][9][10][11][12] and [13].…”

Section: Introductionmentioning

confidence: 99%

Trade-credit modeling for deteriorating item inventory system with preservation technology under random planning horizon

2018

Self Cite

View full text Add to dashboard Cite

This paper deals with a stochastic deteriorating item inventory model with preservation technology and trade-credit finance. The planning horizon of many seasonal or fashionable items stochastically varies to some extent. On the other side, the demand of such items increases in initial phase followed by a constant. This type of demand pattern can be modeled as ramp-type demand. Deterioration of such products is a characteristic, which can be reduced by making the investment on latest equipment and technology. Consumption of such items within shelf life prevents to deterioration, which can be achieved by bulk sale. In order to stimulate the selling, trade-credit policy is also considered here. In these regards, this study examines the joint effect of preservation technology investment and trade-credit policy, wherein shortage is allowed and mixture of partial backlog and lost sales. Six cases may arise depending upon three parameters of time l (demand increases up to l), T (when on-hand inventory reaches to zero) and M (trade-credit period). The mathematical models are mainly categorized in two cases: (i) l M and (ii) l [ M. The model is illustrated through numerical experiments, sensitivity analysis, and graphical representation.

show abstract

“…Kumar and Goswami [20] extended distribution-free continuous review inventory system in fuzzy random environment, and employed fuzzy random renewal reward theorem to find the average cost function. Kumar et al [21] developed an integrated production-inventory for vendor-buyer integrated supply chain by considering fuzzy random demand rate. The continuous review and periodic review inventory systems and their variants were extended in fuzzy environment by considering fuzzy/fuzzy random demand by [22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Modelling a type-2 fuzzy inventory system considering items with imperfect quality and shortage backlogging

Kumar

2018

Sādhanā

Self Cite

View full text Add to dashboard Cite

In this paper, an inventory model considering items with imperfect quality is developed in fuzzy environment, wherein shortages are allowed and are backlogged. In order to detect the items with imperfect quality, all items are screened before they are sent for consumption, and all imperfect quality items are sold at discounted price, called salvage value. In view of the fact that demand may not be predicted precisely, because it depends upon many uncertain and perturbing market activities, it is assumed to be a type-2 fuzzy variable. Quantity of imperfect quality items in the received lot may not be predicted precisely; hence percentage of imperfect quality items is also considered as a type-2 fuzzy variable. In this regard, this study developed a defuzzification method of type-2 fuzzy variable pertaining to interval approximation. The mathematical model is analysed to find closed form formulae of order quantity and backlogging quantity. Finally, the proposed methodology and model are testified on numerical examples, and sensitivity of decision variables is examined and discussed to underline the managerial insights as well as to establish the robustness of the mathematical model.

show abstract

Two-echelon fuzzy stochastic supply chain for the manufacturer–buyer integrated production–inventory system

Cited by 40 publications

References 37 publications

A Genetic Algorithm applied to pick sequencing for billing

A Genetic Algorithm applied to pick sequencing for billing

Trade-credit modeling for deteriorating item inventory system with preservation technology under random planning horizon

Modelling a type-2 fuzzy inventory system considering items with imperfect quality and shortage backlogging

Contact Info

Product

Resources

About