A multiple attribute utility theory approach to lean and green supply chain management

By Y. Kainuma, Nobuhiko Tawara. 2006

406 citations recorded by the source corpus.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/c30db8ceda71c9d576cab9bef039536f1e188920

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In Management Information Systems

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Citations in the corpus

A Framework of Sustainable Service Supply Chain Management: A Literature Review and Research Agenda (2017, background): “Moreover, they have to satisfy the customers from upstream and downstream and have to deal with social influence because of complaints (Kainuma and Tawara, 2006) [85].”
Green Supply-Chain Management: A State-of-the-Art Literature Review (2007, background): “[111] Kainuma, Y.”
Trends and Future Directions in Sustainable Development (2018, neutral): “2017 DOI: 10.1002/sd (Kainuma and Tawara, 2006; Gold et al., 2010).”
Corporate sustainability: an integrative definition and framework to evaluate corporate practice and guide academic research (2014, background): “A similar concept is discussed by Kainumaa and Tawara (2006), who suggest the advisability of “re-use and recycling throughout the life cycle of products” (Kainumaa and Tawara, 2006, 98) and an evaluation of supply chains that focuses on environmental performance.”
Considering the energy, water and food nexus: Towards an integrated modelling approach (2011, background): “…and Evans, 1995; Nielsen, 2007; Ruth, 2006; Subhadra, 2011; Van Berkel et al., 1997; Wallner and Narodoslawsky, 1994; Arimura et al., 2011; Diabat and Govindan, 2011; Ferretti et al., 2007; Kainuma and Tawara, 2006; Sarkis et al., 2011; Walker et al., 2008; Wu and Pagell, 2011; Zhu et al., 2008.)”
Quantitative expression and aggregation of performance measurements based on the MACBETH multi-criteria method (2007, background): “Thus, beyond the objective’s breakdown, one major problem in the design of PMS concerns the determination of performance expressions which are useful for the control decisionmaking (Ducq et al., 2001; Kainuma and Tawara, 2006).”
Exploring the antecedents of logistics social responsibility: A focus on Chinese firms (2012, background): “Recently, more and more studies take into consideration Green Supply Chain Management (GSCM) (e.g. Ferretti et al., 2007; Kainuma and Tawara, 2006; Sundarakani et al., 2010; Zhu and Sarkis, 2006; Zhu et al., 2008a, 2008b), which is one aspect of LSR practices.”
Application of fuzzy VIKOR for evaluation of green supply chain management practices (2015, background): “Kainumaa and Tawarab (2006) Re-use and recycling, life cycle of products and services Vachon and Klassen (2008, 2006) Environmental collaboration with suppliers and customers.”
A framework for sustainable performance assessment of supply chain management practices (2014, background): “Covered extensively in the literature (Kainuma & Tawara, 2006; ISO, 2010; OECD, 2000; Veleva & Ellenbecker, 2001), this field can be presented in four subfields: − Marketing and information, to evaluate the impacts of a practice on information given to consumers.”
Quantitative models for sustainable supply chain management: Developments and directions (2014, methodology): “Descriptive stochastic models are all at the inter-organizational level (Kainuma & Tawara, 2006; Saint Jean, 2008; van der Vorst, Tromp, & van der Zee, 2009).”
Using multi-objective genetic algorithm for partner selection in green supply chain problems (2011, background): “The early researches considered reject allowance (Klein, 1966; Levitan, 1960; White, 1967), while discussing process loss. In the research of reject allowance, the production equipment was regarded as reliable, but defective products could be produced in production process. The extra input amount re”
A green supplier selection model for high-tech industry (2009, background): “Thus, in a green supply chain, companies need to have extensive supplier selection and performance evaluation processes (Kainuma & Tawara, 2006).”
Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art. (2010, methodology): “Kang et al. (2003) propose an algorithm based on mini-max regret criterion to solve the disassembly sequencing problem with interval profit values in the objective function. Mascle and Balasoiu (2003) propose a wave propagationbased disassembly algorithm to select the disassembly sequence of a speci”