Production Planning and Control Model to Increase On-Time Deliveries Through Demand-Driven MRP and PDCA in a Make-to-Order Environment of Non-primary Manufacturing Industry

Many companies are struggling to manage their production systems due to increasing market uncertainty. While emerging ‘smart’ technologies such as the internet of things, machine learning, and cloud computing have been touted as having the potential to transform production management, the realities of their adoption and use have been much more challenging than anticipated. In this paper, we explore these challenges and present a conceptual model, a use-case matrix and a product–process framework for a smart production planning and control (smart PPC) system and illustrate the use of these artefacts through four case companies. The presented model adopts an incremental approach that companies with limited resources could employ in improving their PPC process in the context of industry 4.0 and sustainability. The results reveal that while make-to-order companies are more likely to derive greater benefits from a smart product strategy, make-to-stock companies are more likely to derive the most benefit from pursuing a smart process strategy, and consequently a smart PPC solution.

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The use of computers and analytical techniques for production planning and control in the British manufacturing industry

Computers & Industrial Engineering ◽

10.1016/0360-8352(78)90009-8 ◽

1978 ◽

Vol 2 (4) ◽

pp. 163-179 ◽

Cited By ~ 13

Author(s):

A.K. Kochhar

Keyword(s):

Production Planning ◽

Manufacturing Industry ◽

Analytical Techniques ◽

Production Planning And Control ◽

Planning And Control ◽

And Control

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A review of production planning and control: the applicability of key concepts to the make-to-order industry

International Journal of Production Research ◽

10.1080/0020754042000298520 ◽

2005 ◽

Vol 43 (5) ◽

pp. 869-898 ◽

Cited By ~ 196

Author(s):

M. Stevenson * ◽

L. C. Hendry ◽

B. G. Kingsman †

Keyword(s):

Production Planning ◽

Production Planning And Control ◽

Planning And Control ◽

Make To Order ◽

Key Concepts ◽

And Control

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Investigation of the Potential to Use Real-Time Data in Production Planning and Control of Make to Order (MTO) Manufacturing Companies

Implementing Industry 4.0 in SMEs ◽

10.1007/978-3-030-70516-9_5 ◽

2021 ◽

pp. 165-185

Author(s):

Manuel Woschank ◽

Patrick Dallasega ◽

Johannes A. Kapeller

Keyword(s):

Real Time ◽

Production Planning ◽

Production Systems ◽

Lead Times ◽

Production Planning And Control ◽

Time Data ◽

Planning And Control ◽

Make To Order ◽

Real Time Data ◽

And Control

AbstractThe integrated planning and control of logistics processes can be seen as one of the basic prerequisites for the successful implementation of smart production systems and smart and lean supply chains, as well. Therefore, modern Industry 4.0 approaches are mainly focusing on (1) the principles of decentralization and (2) the usage of real-time data to improve the overall logistics performance in terms of promised delivery dates, work in progress, capacity utilization, and lead-times. In this context, this chapter systematically evaluates the application of decentralized production planning and control strategies, e.g., KANBAN and CONWIP, in comparison with traditional approaches, like MRP. Moreover, the impact of real-time data usage in production planning and control systems on lead-times and work in progress is investigated using a discrete event simulation based on primary data from a make to order manufacturer. The results of this industrial case study research confirm the significant potential that lies in smart production systems and smart and lean supply chains and, therefore, in the introduction of Industry 4.0 technologies and technological concepts in production and logistics systems.

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