How to sustain improvement at high level: Application in the field of statistical process control

被引:5
|
作者
Pillet, Maurice [1 ]
Maire, Jean-Luc [1 ]
机构
[1] Laboratoire Système Matériaux et Mécatronique (SYMME), Polytech'Savoie, Université de Savoie, Annecy
关键词
Business growth; Business improvement; Statistical process control; Sustainable development;
D O I
10.1108/17542730810909347
中图分类号
学科分类号
摘要
Purpose: Many companies can today attest to having obtained significant progress in their performance using some improvement processes (six sigma, 5S, business process reengineering, etc.). But they can also attest to experiencing difficulties in sustaining the use of these processes over time. The aim of this paper is to describe all the specific actions which can contribute to the sustaining of these processes. Design/methodology/approach: An empirical research methodology is used by carrying out a survey of 40 Swiss and French manufacturing companies regarding their approach to the sustaining of some of their improvement processes. Findings: A model of sustainability for an improvement process is proposed. This model is founded on three axes: organic state, return on effort and facilitation. To sustain an improvement process over time consists in taking these three axes into account by managing their relative importance in space and over time. The paper details the generic actions associated with each of the three axes. These actions are then illustrated using the context of a sustained statistical process control project. Originality/value: The survey detailed in this paper confirms the difficulty of companies have in sustaining their improvement processes over time, since the average sustainability ratio for all the different processes mentioned rarely exceeds 40 per cent. The paper gives all the specific actions which can contribute to sustain these processes better. © Emerald Group Publishing Limited.
引用
收藏
页码:570 / 587
页数:17
相关论文
共 50 条
  • [1] Continuous Quality Improvement by Statistical Process Control
    Gejdos, Pavol
    INTERNATIONAL SCIENTIFIC CONFERENCE: BUSINESS ECONOMICS AND MANAGEMENT (BEM2015), 2015, 34 : 565 - 572
  • [2] Statistical process control application to weld process
    Cook, GE
    Maxwell, JE
    Barnett, RJ
    Strauss, AM
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1997, 33 (02) : 454 - 463
  • [3] Statistical Process Control for Process Improvement in Industry: A Case Study
    Teh, Sin Yin
    Low, Heng Chin
    Teoh, Ping Chow
    ADVANCED SCIENCE LETTERS, 2015, 21 (05) : 1094 - 1098
  • [4] STATISTICAL PROCESS CONTROL AS A FAILURE REMOVAL IMPROVEMENT TOOL
    Zasadzien, Michal
    Midor, Katarzyna
    ACTA TECHNOLOGICA AGRICULTURAE, 2018, 21 (03) : 124 - 129
  • [5] Statistics in quality improvement: Measurement and statistical process control
    Wolfe, Heather A.
    Taylor, April
    Subramanyam, Rajeev
    PEDIATRIC ANESTHESIA, 2021, 31 (05) : 539 - 547
  • [6] Application of Statistical Process Control on Port State Control
    Yuan, Chien-Chung
    Chung, Wu-Hsun
    Cai, Cunqiang
    Sung, Shu-Te
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (10) : 1 - 15
  • [7] Improvement of Process Quality via Integration of Statistical Process Control and Engineering Process Control in Batch Process
    Hamzah, Nuramalina
    Ali, Sherif Abdulbari
    Abd Karim, Siti Fatma
    2020 IEEE 10TH INTERNATIONAL CONFERENCE ON SYSTEM ENGINEERING AND TECHNOLOGY (ICSET), 2020, : 218 - 223
  • [8] PROCESS VARIABILITY REDUCTION THROUGH STATISTICAL PROCESS CONTROL FOR QUALITY IMPROVEMENT
    Mahesh, B. P.
    Prabhuswamy, M. S.
    INTERNATIONAL JOURNAL FOR QUALITY RESEARCH, 2010, 4 (03) : 193 - 203
  • [9] Statistical process control and its application in finance
    Severin, T
    Schmid, W
    RISK MANAGEMENT, ECONOMETRICS AND NEURAL NETWORKS, 1998, : 83 - 104
  • [10] Improvement of the Statistical Process Control Certainty in an Automotive Manufacturing Unit
    Godina, Radu
    Pimentel, Carina
    Silva, F. J. G.
    Matias, Joao C. O.
    28TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2018): GLOBAL INTEGRATION OF INTELLIGENT MANUFACTURING AND SMART INDUSTRY FOR GOOD OF HUMANITY, 2018, 17 : 729 - 736