Multi-objective fuzzy inventory model with three constraints: a geometric programming approach

Mandal, Nirmal Kumar; Roy, Tapan Kumar; Maiti, Manoranjan

doi:10.1016/j.fss.2004.07.020

Cited by 73 publications

(21 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since then, many papers on inventory management and modeling under uncertainty have been published as seen in Chu [15]; Handfield [16]; Maiti [17]; Mandal [18]; Ryu [19]; Solyali [20].…”

Section: Inventory Managementmentioning

confidence: 99%

Intra-Firm Inventory Management Model with Transshipments

Anthony¹,

Augustin²

2017

AJIBM

View full text Add to dashboard Cite

This paper analyzes the implementation of transshipments among two independent locations which belong to one parent firm and the impact of transshipments, when implemented between these two locations. We examine how the possibility of such transshipments affects the optimal inventory orders at each location and find that, if each location aims to maximize its own profit, their inventory choices will not in general maximize joint profits. However, we find transshipment prices which if implemented by the parent firm as incentive design will make each location behave in order to optimize aggregate profit.

show abstract

“…Since then, many papers on inventory management and modeling under uncertainty have been published as seen in Chu [15]; Handfield [16]; Maiti [17]; Mandal [18]; Ryu [19]; Solyali [20].…”

Section: Inventory Managementmentioning

confidence: 99%

Intra-Firm Inventory Management Model with Transshipments

Anthony¹,

Augustin²

2017

AJIBM

View full text Add to dashboard Cite

show abstract

“…(7,10,12,14) and ̃2 ≡ Rs. (6,8,9,10) respectively. Similarly, opportunity cost of second machine are ̃1 ≡ Rs.…”

Section: Numerical Examplementioning

confidence: 99%

“…S. Islam and T. K. Roy [5] introduced multi-objective inventory model of deteriorating items under investment and order constraints. N. K Mandal, T. K Roy and M. Maity [6] introduced multi-objective fuzzy inventory model http://www.ispacs.com/journals/jfsva/2016/jfsva-00346/ International Scientific Publications and Consulting Services with three constraints: a geometric programming approach. Nita H. Shah and Kunal T. Shukla [4] developed the deteriorating inventory model for waiting time partial backlogging.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy multi-item inventory model with time varying stock dependent demand under partial backlogging

Islam¹,

Biswas²

2016

Journal of Fuzzy Set Valued Analysis

View full text Add to dashboard Cite

In this paper we have formulated a multi-item fuzzy inventory model with stock dependent demand rate and shortages are allowed with partial backlogging. The multi-item inventory model with demand dependent unit cost has been formulated alone with storage space constraints. The partial backlogging rate of unsatisfied demand is assumed to be decreasing exponential function for waiting time. Here the cost parameters, the objective function and constraint are imposed in fuzzy nature. The model has been solved by Fuzzy Goal Programming (FGP) method. Finally the model is expressed by numerical example.

show abstract

“…To obtain optimal solution, they used fuzzy nonlinear programming (FNLP) and fuzzy additive goal programming (FAGP) methods considering budget and space constraints. However, Mandal et al (2005) included storage space, number of orders, and production cost in their model and achieved optimal solution by applying GP. In addition, Maity and Maiti (2008) and Islam (2008) presented a multi-item multi-objective inventory model under fuzzy inflation and discounting.…”

Section: Introductionmentioning

confidence: 99%

A multiple objective approach for joint ordering and pricing planning problem with stochastic lead times

2013

View full text Add to dashboard Cite

The integration of marketing and demand with logistics and inventories (supply side of companies) may cause multiple improvements; it can revolutionize the management of the revenue of rental companies, hotels, and airlines. In this paper, we develop a multi-objective pricing-inventory model for a retailer. Maximizing the retailer's profit and the service level are the objectives, and shortage is allowed. We present the model under stochastic lead time with uniform and exponential distributions. Since pricing is important and influences demand, the demand is considered as a general function of price. The multiple-objective optimization model is solved using the weighting method as well as the L-P metric method. Concerning the properties of a nonlinear model, a genetic algorithm is taken into account to find the optimal solutions for the selling price, lot size, and reorder point. Finally, numerical examples with sensitivity analysis regarding key parameters are provided.

show abstract

Multi-objective fuzzy inventory model with three constraints: a geometric programming approach

Cited by 73 publications

References 24 publications

Intra-Firm Inventory Management Model with Transshipments

Intra-Firm Inventory Management Model with Transshipments

Fuzzy multi-item inventory model with time varying stock dependent demand under partial backlogging

A multiple objective approach for joint ordering and pricing planning problem with stochastic lead times

Contact Info

Product

Resources

About