Fuzzy analytic network process (FANP) approach in formulating infrastructural decisions of sustainable manufacturing strategy

被引:11
|
作者
Ocampo, Lanndon A. [1 ]
机构
[1] Univ San Carlos, Dept Mech & Mfg Engn, Cebu, Philippines
关键词
manufacturing strategy; sustainable manufacturing; firm size; infrastructural decisions; analytic network process; fuzzy set theory;
D O I
10.1080/23270012.2016.1183237
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper explores a fuzzy analytic network process (FANP) approach in identifying the content of manufacturing strategy infrastructural decisions that integrates sustainability and classical manufacturing strategy framework with firm size component. The findings are as follows: (1) firms must ensure high-quality product requirements with a make-to-order production system; (2) large firms must prioritize decentralization of functional areas but they must also provide higher systems integration of all production-related information to mobilize better communication channels; (3) large firms must employ highly skilled human resources in order to provide strong support on functional areas; and (4) small and medium enterprises must focus on product introduction to the market as a strategy priority area. The main contribution of this paper is the decision-making framework under uncertainty that holistically identifies the decisions that comprise a sustainable manufacturing strategy which may serve as guidelines in improving existing sustainable manufacturing practices or in creating new ones.
引用
收藏
页码:266 / 284
页数:19
相关论文
共 50 条
  • [1] A probabilistic fuzzy analytic network process approach (PROFUZANP) in formulating sustainable manufacturing strategy infrastructural decisions under firm size influence
    Ocampo, Lanndon
    INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 2018, 13 (03) : 158 - 174
  • [2] A SIMULATION-BASED FUZZY ANALYTIC NETWORK PROCESS APPROACH IN DEVELOPING SUSTAINABLE MANUFACTURING STRATEGY
    Ocampo, Lanndon
    Clark, Eppie
    MANAGEMENT AND PRODUCTION ENGINEERING REVIEW, 2015, 6 (02) : 32 - 39
  • [3] Maintenance strategy decision making using fuzzy analytic network process (FANP)
    Peng, Anhua
    Xiao, Xingming
    Yue, Rui
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2014, 45 (03): : 783 - 789
  • [4] An integrated sustainable manufacturing strategy framework using fuzzy analytic network process
    Ocampo, L. A.
    Clark, E. E.
    Tanudtanud, K. V. G.
    Ocampo, C. O., V
    Impas, Sr. C. G.
    Vergara, V. G.
    Pastoril, J.
    Tordillo, J. A. S.
    ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT, 2015, 10 (03): : 125 - 139
  • [5] A Fuzzy Analytic Network Process (FANP) approach for prioritizing internet of things challenges in Iran
    Mohammadzadeh, Ali Kamali
    Ghafoori, Saeed
    Mohammadian, Ayoub
    Mohammadkazemi, Reza
    Mahbanooei, Bahareh
    Ghasemi, Rohollah
    TECHNOLOGY IN SOCIETY, 2018, 53 : 124 - 134
  • [6] Prioritizing Supply Chain Agility Factors Using Fuzzy Analytic Network Process (FANP)
    Dastyar, Haniyeh
    Mohammadi, Ali
    Mohamadlou, Moslem Ali
    DYNAMICS IN LOGISTICS (LDIC 2020), 2020, : 166 - 174
  • [7] The theoretical structure of Fuzzy Analytic Network Process (FANP) with Interval Type-2 Fuzzy Sets
    Senturk, Sevil
    Binici, Yonca
    Erginel, Nihal
    IFAC PAPERSONLINE, 2016, 49 (12): : 1318 - 1322
  • [8] SUPPLIER SELECTION USING FUZZY ANALYTIC NETWORK PROCESS (FANP) AT PT PUTRA GUNUNG KIDUL
    Wahyuni, Rossi Septy
    Julianda, Prameswari Rizcha
    Wilianti, Dewi
    1ST INTERNATIONAL CONFERENCE ON INDUSTRIAL AND MANUFACTURING ENGINEERING, 2019, 505
  • [9] Sustainable electricity generation mix for Iran: A fuzzy analytic network process approach
    Sadeghi, Arash
    Larimian, Taimaz
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2018, 28 : 30 - 42
  • [10] Computing sustainable manufacturing index with fuzzy analytic hierarchy process
    Ocampo, Lanndon A.
    Clark, Eppie E.
    Promentilla, Michael Angelo B.
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING, 2016, 9 (05) : 305 - 314