Production Planning and Inventory Control in Automotive Supply Chain Networks

Memari, Ashkan; Rahim, Abdul; Ahmad, Robiah

doi:10.1007/978-3-319-07455-9_45

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…Vol. 03, Issue 03, March 2023, pp : 136-142 www.prodplan.org [2] www.answers/topic/ppc.com [3] www.mangamentorg.com [4] www.wikipedia.org [5] www.scribd.co…”

Section: International Journal Of Progressive Research In Engineering...mentioning

confidence: 99%

A STUDY ON DEVELOPMENT OF PP & C D

2023

IJPREMS

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Production planning is a pre-production activity. It is the pre-determining of production requirements such as labour, materials, machines and production processes. Ray Wild defines production planning as the identification, acquisition, and disposition of all facilities necessary for the future production of a product. It represents the design of the production system. In addition to resource planning, he will organize production. Based on the estimated demand for the company's products, he will establish a production program to achieve the stated goals using various resources. Through this study, an attempt was made to identify the key areas for improvement in the development of the production plan and control design at Brakes India. The objectives of this study included analyzing the various benefits and advantages that production planning and control offers, assessing the effectiveness of training provided for planning and production control, an important step in the execution of production planning and control, the factors that need to be improved in the production system, and knowing the level of employee satisfaction with the production planning Existing control design and production. Manufacturing companies use quality assurance programs to gain a competitive advantage in the marketplace and reduce defect rates on the production line. Production control is an essential part of these programs, as it aims to eliminate waste from production processes through planning and organization. Its many benefits can be discussed with workers and production line managers. The study allowed Brakes India to assess the various elements needed to develop a new design for their existing production planning and control operations.

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“…Vol. 03, Issue 03, March 2023, pp : 136-142 www.prodplan.org [2] www.answers/topic/ppc.com [3] www.mangamentorg.com [4] www.wikipedia.org [5] www.scribd.co…”

Section: International Journal Of Progressive Research In Engineering...mentioning

confidence: 99%

A STUDY ON DEVELOPMENT OF PP & C D

2023

IJPREMS

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“…Inventory control is a common realistic problem [37,42,44]. In this section, the inventory prediction problem in Section 3 will still be taken as an example to show the effectiveness of our model.…”

Section: Numerical Examplementioning

confidence: 99%

A new belief Markov chain model and its application in inventory prediction

Jiang

2017

International Journal of Production Research

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Markov chain model is widely applied in many fields, especially the field of prediction. The classical Discrete-time Markov chain(DTMC) is a widely used method for prediction. However, the classical DTMC model has some limitation when the system is complex with uncertain information or state space is not discrete. To address it, a new belief Markov chain model is proposed by combining Dempster-Shafer evidence theory with Markov chain. In

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“…His findings demonstrated that JIT had a positive impact on sales, design, improvement, and production in the Toyota factory. Memari et al [4] proposed a decision support system for a hybrid MRP/JIT supply network by using bilevel non-linear optimization modeling. Furthermore, Farahani and Elahipanah [5] developed multi objective mathematical model for a JIT distribution problem in a three-echelon distribution network in a supply chain.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective genetic algorithm in green just-in-time logistics

Memari

Rahim

Ahmad

2014

2014 IEEE International Conference on Industrial Engineering and Engineering Management

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This paper addresses a mixed-integer linear programming model by integrating just-in-time delivery along with green objectives in a logistics network. Multiobjective genetic algorithm optimization has been applied in order to minimize the number of delivery and lead-time as well as environmental impact of logistic network. This evolutionary based algorithm incorporates non-dominated sorting genetic algorithm, so as to allow heuristic for parallel optimization of the objective functions. Computational results demonstrate efficiency of the proposed model for minimizing the objective functions. Finally, the conclusion and some areas of further research are proposed.

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Production Planning and Inventory Control in Automotive Supply Chain Networks

Cited by 6 publications

References 18 publications

A STUDY ON DEVELOPMENT OF PP & C D

A STUDY ON DEVELOPMENT OF PP & C D

A new belief Markov chain model and its application in inventory prediction

Multi-objective genetic algorithm in green just-in-time logistics

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