Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
SES 5.6: Smart Factories and Industrial IoT
Wednesday, 28/Jun/2017:
11:20am - 1:00pm

Session Chair: Dusan Sormaz
Location: Aula R (first floor)

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79. Modelling supply chain performance

Paul-Eric Dossou, Meriem Nachidi

Icam, France

Due to globalisation and economic crisis in Europe, the situation of industrial companies is decreasing. European countries have to think about how to reorganise themselves in order to increase their performance. Recently, many ideas and strategies have been proposed to improve working life and production systems. Indeed, many European countries nowadays adopt industry 4.0 and supply chain 4.0. Enterprise modelling methodologies define enterprise as a system, which can integrate new technologies, Internet of things, automation, robotics and so on.

GRAI methodology is used for enterprise modelling and its tool GRAIMOD is being developed for supporting the methodology [Dossou, 2015]. For elaborating GRAIMOD, new concepts and formalisms are defined. For instance, a knowledge representation is defined as rules for analysing and designing enterprises, old cases for elaborating solutions by using CBR (Case Based Reasoning) and reference models are done according to activity domains for facilitating design of new solutions. Criteria and a dashboard are defined for measuring supply chain performance (existing system and future system).

Thus, the state of a company can be determined by a set of mathematical equations that connects their inputs and outputs. Classical modelling approaches can be used to improve performance criteria including quality, cost, lead-time, carbon management, energy efficiency, and social, societal and environmental.

This paper deals with modelling supply chain performance taking into account the performance criteria. A zoom is made on quality and lead-time criteria for illustrating the developed concepts.

Then a real application on a company is given to validate concepts elaborated. A comparison is made with the real use.

159. Location Independent Manufacturing – Software solution for supply chain

Merja Peltokoski, Jarno Volotinen, Mika Lohtander

Lappeenranta University of Technology, Finland

All over the world the companies are trying to concentrate on producing environmentally friendly products. Global megatrends are going towards ageing, individualism, globalization, urbanization, and sustainability. To reduce the waste and emissions environmental impact has to be take into account. Ecological behavior reflects to produce recyclable products and great production that is in its entirety environmental friendly. Not only the production has to be ecological, also the raw materials has to be ecological, logistic emissions has to reduce and ethical decisions has to be made. Globalization itself is forcing companies to be competitive and in the future the globalization will be key enabler of economic growth.

To answer the challenges of globalization, sustainability and the upcoming megatrends, the key solution is going to be Location Independent Manufacturing (LIM) concept. The LIM concept is new manufacturing philosophy and it has been get attention in Finnish SMEs’, but it hasn’t been fully implemented by any company. LIM is not only solution for faster and more sustainable production but it also cutting down emissions in transportation and provide new markets for SME’s far away from consumption centers.

To reach these previous mentioned goals the new manufacturing operation model is needed. New developed operation model is based on open information from internet. Software is utilize open data like custom costs, custom’s commodity codes, corporation taxes and environmental laws. Software could be used as a comparison or an optimization tool. In this research the software is aim to Finnish SMEs, where the projects and products are changing all the times. With the help of this LIM software, it is possible to compare the operation models on site: how to obtain cheapest end product or what the actual cost for delivery are, when the materials or semi-final products are coming from different subcontractors. This LIM software is also comparing taxations, logistic costs, and company’s production model in destination country. Remarkable savings could be achieve if proposed software is used.

310. An integrated logistics concept for a modular assembly system

Wolfgang Kern1,2, Hannes Lämmermann2, Thomas Bauernhansl1,3

1GSaME Graduate School of Excellence advanced Manufacturing Engineering, University of Stuttgart, 70569 Stuttgart, Germany; 2Audi AG, 85045 Ingolstadt, Germany; 3Fraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, Germany

The trend towards product differentiation in the automotive industry increases the complexity in its assembly and logistics. Hence, more flexible systems are required and already in development. Based on the requirements of a modular assembly system, an adapted production logistics concept with decentralized logistics areas at each workstation is described in this paper. The modular system without a fixed sequence of products is enabled by five types of material supply differentiated in the integrated logistics concept. As a result, an effective assembly of present and future automobiles can be ensured despite their variety.

365. Modeling a Leagility Index for Supply Chain Sustenance

Arnab Banerjee1, Farnaz Ganjeizadeh2, United States of America; 2Professor, Califirnia State University, East Bay, USA

For a sustainable Leagile Supply chain it is important to measure and optimize the leagility. Governance of leagility sustenance needs the supply chain performance to be measured and optimized through a means termed by us as ‘Leagility Index’. The paper details the modelling approach for calculating leagility index. The calculation is proposed via conjoint analysis. The sustenance model further optimizes the supply chain using Simulated Annealing (SA) in a practical process adoption scheme. The index acts as a guide for sustenance model of supply chain.

37. The Impact of Supply Chain Integration on Performance: Evidence from the UK Food Sector

Vikas Kumar, Esinaulo Nwakama Chibuzo, Jose Arturo Garza-Reyes, Archana Kumari, Luis Roch-Lona, Gabriela Citlalli Lopez-Torres

University of the West of England, United Kingdom

Supply chain Integration has emerged as a major field of interest over the years that involve the strategic alignment of functions and processes within an organization. However, there have been major debates regarding the true design of the kinds of integration that would lead to performance of supply chains. This study develops a conceptual framework from the literature and defines four constructs of integration (customer, supplier, internal, and information integration) to see how this would lead to improved supply chain performance (such as production flexibility, inventory turns, order fulfillment rate, total logistics costs, and operational performance).

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