Product-Quality Based Scheduling of Automated Food Processing

Production Planning and Control (PPC) does not only play an important role in the classical field of production. Concerning a trend to more customer related products and a so called buyers market, also the not yet strongly automated businesses have to think about topics like PPC. By forming a new automated shop floor in a commercial kitchen for example, new optimization criteria in the PPC play a crucial role. Especially in the manner of scheduling jobs different constraints concerning the handled products come up. This paper demonstrates a possibility to extend the criteria of PPC with the subjective parameter of product quality. This approach allows influencing an oven-control to reach the best product quality in its processing.

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A heijunka study for the production of standard parts included in a customized finished product

PLoS ONE ◽

10.1371/journal.pone.0260515 ◽

2021 ◽

Vol 16 (12) ◽

pp. e0260515

Author(s):

Paulina Rewers ◽

Jacek Diakun

Keyword(s):

Control System ◽

Production Planning ◽

Production System ◽

Crucial Role ◽

Simulation Method ◽

Production Planning And Control ◽

Production Flow ◽

Planning And Control ◽

And Control ◽

Order Execution

Efficient order execution plays a crucial role in the activity of every company. In production planning it is important to find a balance between the fluctuations of orders and stability of production flow regarding the company. One of the methods of achieving this goal is heijunka (production leveling). This paper presents a study of choosing the best variant of the production planning and control system for the production of standard parts. Three variants are investigated regarding delays in order delivery. The analysis of variants was conducted using a simulation method. The method of choosing the best variant for the production system being investigated is also proposed. The results show that the best variant is a mix of production leveling and production "for stock".

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Labor flexibility integration in workload control in Industry 4.0 era

Operations Management Research ◽

10.1007/s12063-021-00210-2 ◽

2021 ◽

Author(s):

Federica Costa ◽

Alberto Portioli-Staudacher

Keyword(s):

Production Planning ◽

Industry 4.0 ◽

Shop Floor ◽

Production Planning And Control ◽

Labor Flexibility ◽

Planning And Control ◽

Workload Control ◽

Low Volume ◽

And Control ◽

The Impact

AbstractThe paradigm shift toward Industry 4.0 is facilitating human capability, and at the center of the research are the workers—Operator 4.0—and their knowledge. For example, new advances in augmented reality and human–machine interfaces have facilitated the transfer of knowledge, creating an increasing need for labor flexibility. Such flexibility represents a managerial tool for achieving volume and mix flexibility and a strategic means of facing the uncertainty of markets and growing global competition. To cope with these phenomena, which are even more challenging in high-variety, low-volume contexts, production planning and control help companies set reliable due dates and shorten lead times. However, integrating labor flexibility into the most consolidated production planning and control mechanism for a high-variety, low-volume context—workload control—has been quite overlooked, even though the benefits have been largely demonstrated. This paper presents a mathematical model of workload control that integrates labor flexibility into the order review and release phase and simulates the impact on performance. The main results show that worker transfers occur when they are most needed and are minimized compared to when labor flexibility is at a lower level of control—shop-floor level—thus reducing lead time.

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