Identifying profitable reference architectures in an engineer-to-order context

被引:3
|
作者
Lokkegaard, Martin [1 ]
Bertram, Christian Alexander [1 ]
Mortensen, Niels Henrik [1 ]
Hvam, Lars [2 ]
Haug, Anders [3 ]
机构
[1] Tech Univ Denmark, DTU Mech Engn, Lyngby, Denmark
[2] Tech Univ Denmark, DTU Management, DK-2800 Lyngby, Denmark
[3] Univ Southern Denmark, Dept Entrepreneurship & Relationship Management, Kolding, Denmark
关键词
Product design; Engineer to order; cost analysis; reference architecture; complexity cost; PRODUCT CONFIGURATION; COMPLEXITY; DESIGN; MANAGEMENT; CHALLENGES; SYSTEM;
D O I
10.1080/00207543.2022.2036850
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Companies operating with an engineer-to-order (ETO) strategy are often challenged with generating the desired profit as a consequence of product volumes and high levels of product customisation. Profit margins are seen to vary greatly from project to project, which may partly be explained by a lack of references to guide design decisions. Specifically, new product offerings are often based on reuse of design knowledge, which is often not efficiently utilised, as the knowledge transfer and reuse across projects are unstructured, incomplete, or not providing a suitable reference for design specification. To address this issue, this paper presents a method for identifying reference architectures under the consideration of profitability. The method was developed by combining and extending known methods within the fields of product architecture and complexity cost estimation to cover part of the ETO domain. The method was tested in two companies, one producing industrial spray drying plants and the other providing solutions for the production of confectionary products. The findings suggest that a limited understanding of 'preferred solutions' existed in the two case companies, and applying the suggested method to identifying reference architectures could potentially support a more profitable project execution.
引用
收藏
页码:1358 / 1372
页数:15
相关论文
共 50 条
  • [31] The impact of design uncertainty in engineer-to-order project planning
    Vaagen, Hajnalka
    Kaut, Michal
    Wallace, Stein W.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2017, 261 (03) : 1098 - 1109
  • [32] Product life cycle management in engineer-to-order industries
    Hicks, Christian
    McGovern, Tom
    INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2009, 48 (02) : 153 - 167
  • [33] Optimal Purification Decisions for Engineer-to-Order Proteins at Aldevron
    Martagan, Tugce
    Krishnamurthy, Ananth
    Leland, Peter A.
    Maravelias, Christos T.
    PRODUCTION AND OPERATIONS MANAGEMENT, 2016, 25 (12) : 2003 - 2005
  • [34] Supply chain management in construction and engineer-to-order industries
    Cigolini, Roberto
    Gosling, Jonathan
    Iyer, Ananth
    Senicheva, Olga
    PRODUCTION PLANNING & CONTROL, 2022, 33 (9-10) : 803 - 810
  • [35] A supply chain flexibility framework for engineer-to-order systems
    Gosling, Jonathan
    Naim, Mohamed
    Towill, Denis
    PRODUCTION PLANNING & CONTROL, 2013, 24 (07) : 552 - 566
  • [36] Procurement and Contractual Choices for Engineer-to-Order Supply Chains
    Gosling J.
    Hewlett B.
    Naim M.
    IEEE Engineering Management Review, 2021, 49 (01): : 174 - 180
  • [37] Developing due dates in an engineer-to-order engineering environment
    Grabenstetter, Douglas H.
    Usher, John M.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2014, 52 (21) : 6349 - 6361
  • [38] Implications of automation in engineer-to-order production: a case study
    Børge Sjøbakk
    Maria Kollberg Thomassen
    Erlend Alfnes
    Advances in Manufacturing, 2014, 2 : 141 - 149
  • [39] Identification of Tasks to Be Supported by Machine Learning to Reduce Sales & Operations Planning Challenges in an Engineer-to-Order Context
    Ohlson, Nils-Erik
    Riveiro, Maria
    Backstrand, Jenny
    SPS 2022, 2022, 21 : 39 - 50
  • [40] Engaging with 'Engineer for Supply Chain' (EfSC): insights from two engineer-to-order manufacturers
    Reitsma, Ewout
    Haug, Anders
    Hilletofth, Per
    Johansson, Eva
    PRODUCTION PLANNING & CONTROL, 2025, 36 (03) : 378 - 393