project on wies-pro

Procedia CIRP 33 ( 2015 ) 111 – 114

Available online at www.sciencedirect.com

2212-8271 © 2014 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Selection and peer-review under responsibility of the International Scientific Committee of “9th CIRP ICME Conference”doi: 10.1016/j.procir.2015.06.021

ScienceDirect

9th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '14

Engineering Environment for Production System Planningin Small and Medium Enterprises

David Goerziga*, Dominik Luckeb, Juergen Lenza, Timo Dennerb, Michael Lickefetta,b,Thomas Bauernhansla,b

a Institute of Industrial Manufacturing and Management (IFF), University of Stuttgart, Nobelstrasse 12, 70569 Stuttgart, Germany b Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Nobelstrasse 12, 70569 Stuttgart, Germany

* Corresponding author. Tel.: +49 711 970 1995, E-mail address: [email protected]

Abstract

Today, factories have to be adapted permanently in order to follow the developments towards fast changing customer demands and faster life cycles of products. Key aspects to cope with these developments are the reduction of the unit costs and the planning duration as well as the improvement of the planning quality. In order to overcome these challenges, digital tools can support all phases of factory and process planning. Most of them provide a wide range of functionalities, which require a large invest in software and high operation costs to use them efficiently. Often, small and medium enterprises (SME) cannot afford such invests and operation costs. Therefore, new digital factory planning tools tailored for SMEs supporting the production system planning are required. Main goal of the “WiES-Pro” project, funded by the Ministry of Finance & Economics Baden-Württemberg, was to develop an engineering environment for production system planning suitable for SMEs. The “WiES-Pro” approach connects small specific software tools for production system planning in an integrated platform, capable to share information and knowledge easily. The challenges in the development are to cope with both the heterogeneous data from different sources like machine master data, work plans or product data and the applicability to SMEs. This paper presents the results of the project, consisting of the approach and its implementation. Also the architecture of the browser-based platform and the developed digital factory planning tools for priority graph optimization, assembly process time planning, similarity-based product search and material flow simulation are presented shortly. © 2014 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the International Scientific Committee of “9th CIRP ICME Conference".

Keywords: Production system planning; process planning; digital factory tools;

1. Introduction

Today, factories have to operate in a highly dynamic environment. The trend towards high customization of products with an increasing number of variants, the globalization of market structures and shorter product life cycles require a permanent adaption of the factory to the current situation. In this turbulent environment only robust and flexible factories survive [1,2,3]. Key aspects to cope with these developments are the reduction of the unit costs and the planning duration as well as the improvement of the planning quality [4]. Life cycle-based approaches for products and factories help to overcome these challenges. This requires the availability of data along the whole product and factory

life cycle. Here, digital tools support all phases of factory and process planning.

2. Motivation

While large enterprises actively use tools of the digital factory, many small and medium enterprises (SMEs) have not yet engaged with this topic [5]. This is mainly a result of the gap between expenditures for capital and license costs, know how as well as lack of experts [5] and the generated output in form of improvements like planning quality and quantity [6]. The solutions offer too many functions and are too complex and expensive for small and medium enterprises [7]. But through the trend of globalization even small and medium enterprises are part of global supply chains. As a consequence

© 2014 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Selection and peer-review under responsibility of the International Scientifi c Committee of “9th CIRP ICME Conference”

112 David Goerzig et al. / Procedia CIRP 33 ( 2015 ) 111 – 114

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