Aggregate Production Planning: Mixed Strategy. | [Pakistan Journal of Biotechnology • 2017]

Author(s):

1. Anand Jayakumar A: Department of Mechanical Engineering, SVS College of Engineering, Coimbatore, India

2. Krishnaraj C: Department of Mechanical Engineering, Karpagam College of Engineering, Coimbatore, India

3. Nachimuthu A.K: Department of Mechanical Engineering, SVS College of Engineering, Coimbatore, India

Abstract:

This article is a mathematical model to make decisions in the aggregate production planning of a pump manufacturing company. The mathematical formulation proposed is based on process selection and lot-sizing models. The aim is to help the planners in selecting the industrial processes used to produce pumps and the inventory strategy. The planning period is one year and decisions are taken on a discrete time. A case study was developed in a pump manufacturing company. Under mixed strategy, both inventory and workforce levels are allowed to change during the planning horizon. Thus, it is a combination of the “chase” and “level” strategies. This will be a good strategy if the costs of maintaining inventory and changing workforce level are relatively high. Optimization models are generally used to determine an optimum mixed strategy. In this paper, we use Python program to optimize the problem.

Page(s): 487-490

DOI: DOI not available

Published: Journal: Pakistan Journal of Biotechnology, Volume: 14, Issue: 3, Year: 2017

Keywords:

Keywords are not available for this article.

References:

[1] AbouzarJamalnia, 2009.Mohammad Ali Soukhakian, A hybrid fuzzy goal programming approach with different goal priorities to aggregate production planning,Computers & Industrial Engineering 56 1474 -1486

[2] AkhilJain, 2005.Aggregate production planning for a continuous reconfigurable manufacturing process,Computers & Operations Research 32 1213 -1236

[3] Anand J.A . and C.,Krishnaraj, 2015.Lingo Based Pricing And Revenue Management For Multiple Customer Segments,ARPNJournal of Engineering and Applied Sciences 10 6167 -6171

[4] Anand J.A.,C., 2017.Optimization of P Median Problem in PythonUsing PuLP Package,International Journal of Control Theory and Applications 10 437 -442

[5] Anand J.A.,C.Krishnaraj,P.Raghunayagan, 2017.Optimization of Fixed Charge Problem in Python using PuLP Package,International Journal of Control Theory and Applications 10 443 -447

[6] Anand J.A.,C.Krishnaraj, 2015.Pricing and Revenue Management for Perishable Assets Using LINGO,International Journal of Emerging Researches in Engineering Science and Technology 2 65 -68

[7] Anand J.A.,C.Krishnaraj,:, 2015.,International Journal of Emerging Researches in Engineering Science and Technology 2 -

[8] Anand J.A.,C.Krishnaraj,S.R.K.Raj, 2016.Lingo Based Revenue Maximization Using Aggregate Planning,ARPN Journal of Engineering and Applied Sciences 11 6075 -6081

[9] Anand J.A.,C.Krishnaraj,Aravinth K, 2015.,LINGO Based Supply Chain Network Design. Journal of Applied Sciences Research 11 19 -23

[10] Anand J.A.,C.Krishnaraj, 2015.Solving Supply Chain Network Gravity Location Model Using LINGO,International Journal of Innovative Science Engineering and Technology 2 32 -35

[11] Saravanan D. and S.,Noise & LightPak, 2017.V. lakshmi, Cause and Effect of Environmental Pollution-Air, Water,J. Biotechnol 14 109 -113

[12] Dominic C.. Y.Foo, 2015.Automated targeting model for aggregate planning in production and energy supply chains,Clean Technology Environmental Policy 18 1405 -1414

[13] KoganK.,VPortougal, 2006., Multi-period aggregate production planning in a news-vendor framework,Journal of the Operational Research Society 57 423 -433

[14] Krishnaraj , C.,AnandJ,S.D.Shri, 2015.Solving Supply Chain Network Optimization Models Using LINGO,International Journal of Applied Engineering Research 10 14715 -14718

[15] Venkat K.M. , T.K.,Kandavel , K.P.,Reddy , J.A.,Anand, 2017.,Experimental Study on Deformation and Densification Properties of Sintered Atomet 4601+TIC Alloy Steels Under Cold Upsetting. Pak. J. Biotechnol 14 183 -187

[16] MargarethaGansterer, 2015.Aggregate planning and forecasting in maketo-order production systems,International Journal of Production Economics 170 521 -528

[17] Gholamian , N.,I. Mahdavi,R.T.Moghaddam,N.Mahdavi-Amiri, .A Comprehensive fuzzy multiobjective multi-product multi-site aggregate production planning decisions in a supply chain under uncertainty,Applied Soft Computing 37 2 -15

[18] Oscar S.S.F. , W.,Cezarino , J.,Ratto, 2010.Modeling and Solution via Excel Spreadsheet and Solver,Management and Control of Production Logistics Pp 89 94 -

[19] Ramakrishnan H. and P.Vinoth, 2017.,Fabrication and Analysis of Fume Extraction and Filtration Equipment. Pak. J. Biotechnol 14 101 -103

[20] Kim S . and S,Yoo, 2012.The combined manpower planning and preventive maintenance strategies by aggregate planning for the service division of vending machines,Journal of the Operational Research Society 63 1034 -1050

[21] SuhuaHsieh,Ming-ShianWu, 2000.Demand and cost forecast error sensitivity analyses in aggregate production planning by possibilistic linear programming models,Journal of Intelligent Manufacturing 11 355 -364

[22] Uday S. Karmarkar, 2012.Aggregate production planning for process industries under oligopolistic competition,European Journal of Operational Research 223 680 -689

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