Supplier Relational Integration Under Conditions of Product Complexity

2018 ◽  
Vol 18 (1) ◽  
Keyword(s):  
Product Complexity ◽  
Relational Integration

scholarly journals PROPOSING A SPECIFICATION STRUCTURE FOR COMPLEX PRODUCTS IN MODEL-BASED SYSTEMS ENGINEERING (MBSE)

2021 ◽  
Vol 1 ◽  
pp. 2481-2490
Author(s):  
Joshua Fahl ◽  
Tobias Hirschter ◽  
Gabriel Wöhrle ◽  
Albert Albers
Keyword(s):  
Systems Engineering ◽  
Student Development ◽  
Success Factors ◽  
Research Work ◽  
Development Project ◽  
Product Complexity ◽  
Complex Product ◽  
Complex Products ◽  
Model Based Systems Engineering ◽  
Product Specification

AbstractThis research work presents a methodological support for the specification of complex products. This is achieved by developing a specification structure in a MBSE environment. The new method draws on success factors of complex product specification, principles of MBSE and the explanatory model of PGE – Product Generation Engineering. For evaluation, the method is applied within a student development project. A high applicability and the realization of novel synergies for coping with continuously increasing product complexity is demonstrated.

scholarly journals METAMODEL FOR SAFETY AND SECURITY INTEGRATED SYSTEM ARCHITECTURE MODELING

2021 ◽  
Vol 1 ◽  
pp. 2027-2036
Author(s):  
Aschot Kharatyan ◽  
Julian Tekaat ◽  
Sergej Japs ◽  
Harald Anacker ◽  
Roman Dumitrescu
Keyword(s):  
Information And Communication Technologies ◽  
Systems Engineering ◽  
System Development ◽  
Autonomous Driving ◽  
Integrated System ◽  
Product Complexity ◽  
System Architectures ◽  
Failure Propagation ◽  
Architecture Modeling ◽  
Systemic Development

AbstractAs digitization progresses, the integration of information and communication technologies in technical systems is constantly increasing. Fascinating value potentials are emerging (e.g. autonomous driving), but also challenges in the system development. The constantly increasing product complexity and degree of networking require a systemic development, which is fulfilled by established approaches of Model-Based Systems Engineering (MBSE). To ensure the reliability of tomorrow's systems, an integrative and early consideration of security and safety is additionally required. In order to show the possibility and consequences of failures and attacks, the paper develops a modeling language that links established and partly isolated security and safety approaches within a consistent metamodel. The developer is enabled to synthesize system architectures transparently on an interdisciplinary level and to analyze attack and failure propagation integratively. The approach uncovers synergetic and especially contrasting goals and effects of architectural designs in terms of safety and security in order to make adequate architectural decisions based on trade-off analyses.

Measuring the Complexity of Additive Manufacturing Supply Chains

2017 ◽  
Author(s):  
Ardeshir Raihanian Mashhadi ◽  
Sara Behdad
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Product Complexity ◽  
Information Theoretic ◽  
Manufacturing Method ◽  
Management Domain ◽  
Information Theoretic Measures ◽  
Production Cycles ◽  
Supply Planning

Complexity has been one of the focal points of attention in the supply chain management domain, as it deteriorates the performance of the supply chain and makes controlling it problematic. The complexity of supply chains has been significantly increased over the past couple of decades. Meanwhile, Additive Manufacturing (AM) not only revolutionizes the way that the products are made, but also brings a paradigm shift to the whole production system. The influence of AM extends to product design and supply chain as well. The unique capabilities of AM suggest that this manufacturing method can significantly affect the supply chain complexity. More product complexity and demand heterogeneity, faster production cycles, higher levels of automation and shorter supply paths are among the features of additive manufacturing that can directly influence the supply chain complexity. Comparison of additive manufacturing supply chain complexity to its traditional counterpart requires a profound comprehension of the transformative effects of AM on the supply chain. This paper first extracts the possible effects of AM on the supply chain and then tries to connect these effects to the drivers of complexity under three main categories of 1) market, 2) manufacturing technology, and 3) supply, planning and infrastructure. Possible impacts of additive manufacturing adoption on the supply chain complexity have been studied using information theoretic measures. An Agent-based Simulation (ABS) model has been developed to study and compare two different supply chain configurations. The findings of this study suggest that the adoption of AM can decrease the supply chain complexity, particularly when product customization is considered.

Re-examining the effects of supplier integration on operations performance: a relational view

2017 ◽  
Vol 37 (12) ◽  
pp. 1702-1721 ◽  
Author(s):  
Yuanqiong He ◽  
Hongyi Sun ◽  
Wenbin Ni ◽  
Stephen C.H. Ng
Keyword(s):  
Decision Making ◽  
Product Complexity ◽  
Relational View ◽  
Competition Intensity ◽  
Data Set ◽  
Joint Decision ◽  
Competitive Intensity ◽  
Content Type ◽  
Supplier Integration ◽  
Operations Performance

Purpose The importance of supplier integration (SI) in improving firms’ performance has been previously identified but the effects of SI are complicated, as the relationship between supplier and buyer is full of uncertainty. The purpose of this paper is to re-examine the effects of SI on operations performance from a relational view. Design/methodology/approach Two strategies of integrating suppliers are theoretically presented: information sharing and joint decision making. Hypotheses are then developed on when SI influences operations performance, using product complexity and competitive intensity as moderating factors. The hypotheses are tested using a global survey data set, made up of 763 manufacturing firms from 22 countries. Findings The results indicate a positive relationship between SI and operations performance and that the moderating roles of product complexity and competition intensity are significant, but product complexity does not have significant moderation effects on the relationships between joint decision making and product quality/cost reduction. Research limitations/implications The moderators of product complexity and competitive intensity are not comprehensive. Future study into how and under what circumstances SI has the greatest effect will be of benefit. Originality/value This study makes theoretical contributions by exploring the strategies of SI through a relational view, and examining the effects of SI through the moderating roles of product complexity and competition intensity.

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