Using theory of constraints for reaching optimal product mix: An application in the furniture sector

Okutmuş, Ercüment; Kahveci, Ata; Kartašova, Jekaterina

doi:10.1016/j.intele.2016.02.005

Cited by 24 publications

(32 citation statements)

References 2 publications

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“…This is consistent with the result obtained by Godfrey C [11] using linear programming method. This method is still feasible when applied to the cases in related literatures [12][13][14][15][16][17][18][19][20][21][22][23][24][25].…”

Section: Example Simulation and Resultsmentioning

confidence: 99%

Product Portfolio Decision-making Method Based on Multiple Bottlenecks

Wang¹,

Li²

2021

Proceedings of the 1st International Symposium on Innovative Management and Economics (ISIME 2021)

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Determining the appropriate product mix solution is one of the important production system decisions for manufacturing companies. Based on the traditional method of identifying bottlenecks in the theory of constraints, this paper proposes a heuristic method that considers all constraints simultaneously and assigns weights to all constraints in five steps to address the infeasibility of the traditional theory of constraints in product mix decisions under multiple resource constraints. The paper also illustrates the feasibility, simplicity and ease of use of the new method through a simulation example.

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Section: Example Simulation and Resultsmentioning

confidence: 99%

Product Portfolio Decision-making Method Based on Multiple Bottlenecks

Wang¹,

Li²

2021

Proceedings of the 1st International Symposium on Innovative Management and Economics (ISIME 2021)

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“…Tanhaei and Nahavandi proposed a heuristic algorithm to determine the optimal product portfolio in two resource-constrained environments [7]. Besides, Kahveci et al apply TOC to companies with capacity constraints [8]. e TOC method mainly considers resource constraints, and it is therefore difficult for this paper to meet its research needs.…”

Section: Literature Reviewmentioning

confidence: 99%

Collaborative Product Portfolio Design Based on the Approach of Multichoice Goal Programming

Wang

Chen

Liu

2021

Mathematical Problems in Engineering

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Product portfolio optimization is a typical multiobjective problem. The multichoice goal programming method becomes a popular means of resolving multiobjective decision problems. However, the classic multichoice goal programming method treats the product portfolio optimization in isolation and does not consider the mutual influence between portfolio products. Researchers should consider the interaction between products in portfolio optimization so that they can be adjusted to “real world” problems. The interaction between products can be explained by population dynamics. Logistic model is a classical method to analyze the population interaction. The equilibrium point of logistic model can show the ideal state of product population coordinated development. The combination of logistic and multichoice goal programming method is an effective approach to analyze the interaction of product portfolio. This paper therefore proposes a new alternative method to formulate the multiobjective problem and also uses an illustrative example to demonstrate the usefulness of the proposed method. The comparative analysis of model optimization results shows that logistic multichoice goal programming model can take into account resource constraints, product collaboration, and output maximization. Logistic multichoice goal programming model shows good performance in the aspects of operation complexity, operation time, sensitivity analysis, and collaborative entropy evaluation.

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“…In other words, TOC is a philosophy that recognises that the whole is much more than the sum of its parts and that a complex web of interrelationships exists within the system. Okutmus, Kahvecib, and KartašOva (2015) present a study of TOC in a furniture plant. Zivaljevic (2015) presents how to reduce highway congestion due to applying TOC.…”

Section: Theory Of Constraints In the Literaturementioning

confidence: 99%

TOC implementation in a medium-scale manufacturing system with diverse product rooting

Urban

2019

Production & Manufacturing Research

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Although the Theory of Constraints (TOC) is a widely known management concept, it warrants further research, particularly in terms of its application. The study investigates TOC implementation in a medium-scale manufacturing system with diverse products. The instrumental case study methodology is employed in this study, and the conceptual studies assess the case. The study helps to elucidate the methodology of TOC implementation in a manufacturing system. Instead of the five-step sequential approach that exploits constraints one after another, the cycles of system productivity target points are proposed, where each improvement cycle simultaneously considers several constraints. The proposed methodology is visualised, several implications and suggestions for constraint identification are provided, and a new method of bottleneck identification is elaborated in this study.

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Using theory of constraints for reaching optimal product mix: An application in the furniture sector

Cited by 24 publications

References 2 publications

Product Portfolio Decision-making Method Based on Multiple Bottlenecks

Product Portfolio Decision-making Method Based on Multiple Bottlenecks

Collaborative Product Portfolio Design Based on the Approach of Multichoice Goal Programming

TOC implementation in a medium-scale manufacturing system with diverse product rooting

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