Function-Block Enabled Job Shop Planning and Control With Uncertainty

The objective of this research is to develop a methodology of distributed process planning and its execution control for job shop operations. The manufacturing processes of job shop operations are rather complex, especially at shop floors where highly mixed products in small batch sizes are handled simultaneously. In addition to the fluctuating job shop operations, unpredictable events like job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down, are regularly challenging the job shop operations. Targeting the fluctuations, this research proposes a DPP (distributed process planning) approach to generate process plans that are responsive and adaptive to the changes. In this paper, a function block enabled approach is introduced. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.

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Overview of a Distributed Process Planning Approach Targeting Manufacturing Uncertainty

Manufacturing Science and Engineering, Parts A and B ◽

10.1115/msec2006-21072 ◽

2006 ◽

Cited By ~ 1

Author(s):

Lihui Wang ◽

Ningxu Cai ◽

Hsin-Yung Feng

Keyword(s):

Process Planning ◽

Job Shop ◽

Layer Structure ◽

Dynamic Decision Making ◽

Machining Process ◽

Operation Planning ◽

Planning Approach ◽

Job Shop Operations ◽

Function Blocks ◽

Distributed Process

This paper presents an overview of our DPP (distributed process planning) approach, covering DPP concept, generic machining process sequencing using enriched machining features, process plan encapsulation in function blocks, and process monitoring enabled by the function blocks. A two-layer structure of Supervisory Planning and Operation Planning is proposed in DPP to separate generic data from machine-specific ones. The supervisory planning is only performed once, in advance, at shop level, whereas the operation planning is carried out at runtime at machine level. This dynamic decision-making is facilitated by a set of resource-driven algorithms embedded in the function blocks. The internal structures of typical function blocks are also introduced in the paper. The DPP approach and algorithms are further verified through a case study before drawing conclusions. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.

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Interactive design intelligent process planning and control for PM parts

Metal Powder Report ◽

10.1016/0026-0657(93)91726-e ◽

1993 ◽

Vol 48 (12) ◽

pp. 51

Keyword(s):

Process Planning ◽

Interactive Design ◽

Planning And Control ◽

And Control ◽

Intelligent Process

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A function block based approach for increasing adaptability of assembly planning and control

International Journal of Production Research ◽

10.1080/00207543.2010.501827 ◽

2011 ◽

Vol 49 (16) ◽

pp. 4903-4924 ◽

Cited By ~ 13

Author(s):

Lihui Wang ◽

Shadi Keshavarzmanesh ◽

Hsi-Yung Feng

Keyword(s):

Assembly Planning ◽

Function Block ◽

Planning And Control ◽

Block Based ◽

And Control

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A formal mapping of static information models into dynamic models for process planning and control purposes

Sixth International Workshop on Discrete Event Systems, 2002. Proceedings. ◽

10.1109/wodes.2002.1167667 ◽

2003 ◽

Author(s):

P. Falkman ◽

J. Nielsen ◽

B. Lennartson

Keyword(s):

Process Planning ◽

Dynamic Models ◽

Planning And Control ◽

Information Models ◽

Static Information ◽

And Control ◽

Formal Mapping

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A Decision Support System for Process Planning and Control of Polyurethane Foam Production

Journal of Computer Engineering and Information Technology ◽

10.4172/2324-9307.1000114 ◽

2014 ◽

Vol 03 (01) ◽

Cited By ~ 2

Author(s):

PB Mogaji

Keyword(s):

Decision Support ◽

Decision Support System ◽

Polyurethane Foam ◽

Process Planning ◽

Support System ◽

Planning And Control ◽

And Control ◽

Foam Production

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Management Process: Planning and Control

Issues in Engineering: Journal of Professional Activities ◽

10.1061/isend6.0000157 ◽

1981 ◽

Vol 107 (4) ◽

pp. 269-279

Author(s):

Alexander F. Dinsmore ◽

David Burgoine

Keyword(s):

Process Planning ◽

Management Process ◽

Planning And Control ◽

And Control

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A method for remanufacturing process planning and control using loosely coupled systems

Journal of Manufacturing Science and Engineering ◽

10.1115/1.4050545 ◽

2021 ◽

pp. 1-53

Author(s):

Koji Kimita ◽

Johannes Matschewsky ◽

Tomohiko Sakao

Keyword(s):

Process Planning ◽

Coupled Systems ◽

Loosely Coupled Systems ◽

Loosely Coupled ◽

Planning And Control ◽

Design Structure ◽

Crucial Component ◽

Preliminary Validation ◽

Functional Teams ◽

And Control

Abstract Remanufacturing is a crucial component for our societies to move toward a circular economy. Compared to new manufacturing, the distinctive nature of remanufacturing is found to have high variability, high uncertainty and, thereby, complexity. Therefore, remanufacturers need to be able to adapt to the complexity and to flexibly adjust their processes. Especially, the ability to remanufacturing process planning and control is important. However, few practical methods supporting that are available so far. Therefore, this paper aims to propose a method for designing teams and processes in remanufacturing based on the concept of loosely coupled systems. In the proposed method, Design Structure Matrix (DSM) is applied to identify loosely coupled sub-systems that enable to localize impacts of changes within themselves. These sub-systems are also regarded as cross-functional teams that reduce coordination efforts among line departments and therefore increase the adaptability against uncertainties. As a preliminary validation, the proposed method was applied to a real case of remanufacturing, and then found to be effective for creating teams and processes for remanufacturing process planning and control depending on given uncertainties.

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