Multipart setup planning through integration of process planning and scheduling

Haddadzade, Mohammad; Razfar, Mohammad Reza; Zarandi, M. H. Fazel

doi:10.1177/0954405414565138

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…Recent research on the integration of CAPP and scheduling aims at solving and improving some weak aspects that are still present in the numerous scientific contributions that have dealt with this topic. In particular, new approaches about how to include the planning of the setup operations and their times are proposed in order to improve the coordination between the process planning and scheduling (Haddadzade et al 2016). The current approaches are mainly focused on deterministic constraints of jobs, even if the reality of scheduling is characterized by many inefficiencies, such as machine and tool failures, or workpiece deformation, that impact both the scheduled processing times and the availability of the machines.…”

Section: Special Topics In Process Engineering (State-of-the-art)mentioning

confidence: 99%

Operations, Logistics and Supply Chain Management

Zijm¹,

Klumpp²,

Regattieri

et al. 2019

Lecture Notes in Logistics

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of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Section: Special Topics In Process Engineering (State-of-the-art)mentioning

confidence: 99%

Operations, Logistics and Supply Chain Management

Zijm¹,

Klumpp²,

Regattieri

et al. 2019

Lecture Notes in Logistics

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“…Feature recognition is to extract and recognize form features of a three-dimensional (3D) computer-aided design (CAD) part model. The feature recognition results are helpful to product designing, 1–3 process planning, 4–10 and numerical control (NC) programming. 11–17 Thus, it is regarded as the premier technic for the integrated representation of product lifecycle data.…”

Section: Introductionmentioning

confidence: 99%

An oriented feature extraction and recognition approach for concave-convex mixed interacting features in cast-then-machined parts

Wang

Zhang

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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Feature recognition is an important technology of computer-aided design/computer-aided engineering/computer-aided process planning/computer-aided manufacturing integration in cast-then-machined part manufacturing. Graph-based approach is one of the most popular feature recognition methods; however, it cannot still solve concave-convex mixed interacting feature recognition problem, which is a common problem in feature recognition of cast-then-machined parts. In this study, an oriented feature extraction and recognition approach is proposed for concave-convex mixed interacting features. The method first extracts predefined features directionally according to the rules generated from attributed adjacency graphs–based feature library and peels off them from part model layer by layer. Sub-features in an interacting feature are associated via hints and organized as a feature tree. The time cost is reduced to less than [Formula: see text] by eliminating subgraph isomorphism and matching operations. Oriented feature extraction and recognition approach recognizes non-freeform-surface features directionally regardless of the part structure. Hence, its application scope can be extended to multiple kinds of non-freeform-surface parts by customizing. Based on our findings, implementations on prismatic, plate, fork, axlebox, linkage, and cast-then-machined parts prove that the proposed approach is applicable on non-freeform-surface parts and effectively recognize concave-convex mixed interacting feature in various mechanical parts.

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“…One approach to stay competitive is by integrating manufacturing activities across the different stages. 9 From the aspect of assembly optimisation, the ASP and ALB optimisation activities present a good integration opportunity with various potential benefits to the manufacturer.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective discrete particle swarm optimisation algorithm for integrated assembly sequence planning and assembly line balancing

Rashid

Hutabarat

Tiwari

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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In assembly optimisation, Assembly Sequence Planning (ASP) and Assembly Line Balancing (ALB) have been extensively studied because both activities are directly linked with assembly efficiency that influences the final assembly costs. Both activities are categorised as NP-hard and usually performed separately. ASP and ALB optimisation presents a good opportunity to be integrated, considering the benefits such as larger search space that leads to better solution quality, reduces error rate in planning and speeds up time-to-market for a product. In order to optimise an integrated ASP and ALB, this work proposes a Multi-Objective Discrete Particle Swarm Optimisation (MODPSO) algorithm that used discrete procedures to update its position and velocity in finding Pareto optimal solution. A computational experiment with 51 test problems at different difficulty levels were used to test the MODPSO performance compared with existing algorithms. A statistical test of the algorithm performance indicates that the proposed MODPSO algorithm presents significant improvement in terms of the quality of the solution set towards the Pareto optimal set.

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Multipart setup planning through integration of process planning and scheduling

Cited by 6 publications

References 22 publications

Operations, Logistics and Supply Chain Management

Operations, Logistics and Supply Chain Management

An oriented feature extraction and recognition approach for concave-convex mixed interacting features in cast-then-machined parts

Multi-objective discrete particle swarm optimisation algorithm for integrated assembly sequence planning and assembly line balancing

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