A merged approach for modeling qualitative characteristics of agile arena under grey domain

Abstract

Purpose Agile practices are important for executing business dealings proficiently in today’s scenario, as they thrust on implicating strategies for meeting quick market requirements. These practices are noteworthy from the point of competitiveness and for fulfilling customer’s demands speedily and promptly. The purpose of this paper is to appraise agile supplier selection dilemma based on analytical hierarchy process (AHP), which accompanied grey information. The authors drafted a group of momentous agile supplier selection measures, which can be utilized by the group of industrial and manufacturing industries to measure the status of agile parameters in their partner firms. G-TOPSIS approach to handling the case of agile supplier selection problem is presented by the authors in this work. Design/methodology/approach The conception of AHP, grey theory and TOPSIS techniques is fused in this study, under the application arena of agile supply chain management (ASCM). The AHP principals are implicated in the first phase to define the priority importance weights of agile measures and, additionally, grey theory and TOPSIS principals are fused in the second phase to fabricate a significant agile supplier selection model. Findings A merged approach accompanying multiple measures is developed for aiding decision making and for modeling qualitative characteristics of agile arena under grey domain. The present work can be utilized to access the agile performance characteristics of the organization and can define the status of their partner suppliers. The technical guidelines of AHP and G-TOPSIS approach are explained in this study to be implicated in distinguish decision fields. An educational podium for dispensing the theoretical knowledge on supply chain management, ASCM and agility is presented in this study. Originality/value A second-level hierarchical structure is built by the authors to facilitate the managers in taking effective decision pertaining to agile measure in their organizations. The lists of qualitative characteristics are catalogued from the literature review in this study. The built model can undertake risk associated in defining the nature of agile criterions as grey concept can undertake risk associated with the system. Thus, the authors implicated G-TOPSIS approach to handling the case of agile supplier selection problem in this study. The presented hierarchical structure will capably assist the industrial and manufacturing firms to react toward random and unpredictable market requirements, along with attaining organizations goals and profits.

Providing a model of LeAgile hybrid paradigm practices and its impact on supply chain performance

“…Different priorities can be used as different dimensions of supply chain performance (Vickery et al, 2003). In the past few decades, researchers have identified a significant number of performance measures that can be used 2015), (Malakouti et al (2017), (Sahu et al (2018), Rahimi et al (2019), Nath and Agrawal (2020) The flow of information and its sharing through the virtual network throughout the chain Lin et al (2006), Goldsby et al (2006), Swafford et al (2008), Vinodh (2013), Carvalho and Cruz-Machado (2011), Sharma and Bihat (2014), (Gorane and Kant (2016), (Sahu et al (2018) Ability to increase product customization levels Lin et al (2006), Goldsby et al (2006) to evaluate supply chain performance. Table 3 shows the performance measures of supply chain introduced in previous research.…”

“…,Swaford et al (2006),Azevedo et al (2010),Cruz (2012),Sharma and Bihat (2014),Sahu et al (2018),Nath and Agrawal (2020) Facilitate quick decision-makingLin et al (2006),Cruz (2012),Vinodh (2013), Sahu et al (2018), Rahimi et al (2019), Nath and Agrawal (2020) Getting demand information as soon as possible Lin et al (2006), Azevedo et al (2010), Cruz (2012), Mohseni (2015), Sahu et al (2018), Nath and Agrawal (2020) Reduce product development cycle time Swafford et al (2008), Azevedo et al (2010), Cruz (2012), Mohseni (2015), Azevedo et al (2016), Rahimi et al (2019) Maintain and grow customer relationships Lin et al (2006), Agarwal et al (2007), Cruz (2012), Gorane and Kant (2016), Malakouti et al (2017), Sahu et al (2018), Rahimi et al (2019) Speed in customer service improvement Agarwal et al (2007), Swafford et al (2008), Mohseni (2015), Cruz (2012), Azevedo (2016), Nath and Agrawal (2020) Speed in decreasing lead time and cycle time Swafford et al (2008), Agarwal et al (2007), Carvalho and Cruz-Machado (2011) Speed in improving delivery reliability Agarwal et al (2007), Swafford et al (2008), Cruz (2012), Mohseni (2015), Rahimi et al (2019) Supplier's ability to change of size orders Swafford et al (2008), Azevedo et al (2010), Cruz (2012), Rahimi et al (2019) (continued)…”

Providing an interpretive structural model of agile supply chain practices

“…The practices listed in Table I are a set of practices that have been introduced in at least two studies in the field of agile supply chain. Cruz (2012) and Azevedo et al (2016) The ability to change the volume of production and create surplus capacity Swafford et al (2008), Carvalho and and Sahu et al (2018) (continued)…”

“…et al (2006),Goldsby et al (2006),Agarwal et al (2007),Swafford et al (2008),Azevedo et al (2010),Cruz (2012),Vinodh et al (2013),Azevedo et al (2016),Gorane and Kant (2016),Sahu et al (2018) andChen (2018) Application of information technology for coordination and integration in supplyLin et al (2006),Goldsby et al (2006),Agarwal et al (2007),Swafford et al (2008),Azevedo et al (2010),Cruz (2012),Vinodh et al (2013),Azevedo et al (2016),Gorane and Kant (2016),Sahu et al (2018) andChen (2018) Application of information technology for coordination and integration in the delivery Lin et al (2006), Goldsby et al (2006), Agarwal et al (2007), Swafford et al (2008), Azevedo et al (2010), Cruz (2012), Vinodh et al (2013), Azevedo et al (2016), Gorane and Kant (2016), Sahu et al (2018) and Chen (2018) Establishing trust-based relationships with suppliers and customers Lin et al (2006), Agarwal et al (2007), Gorane and Kant (2016), Malakouti et al (2017) and Sahu et al (2018) Information stream through the virtual network throughout the entire chain Lin et al (2006), Swafford et al (2008), Carvalho and Cruz-Machado (2011), Vinodh et al (2013), Sharma and Bhat (2014), Gorane and Kant (2016), Sahu et al (2018) Improve and integrate processes Lin et al (2006), Agarwal et al (2007) and Sahu et al (2018) Customization of products Lin et al (2006), Goldsby et al (2006), Swafford et al (2008), Azevedo et al (2010), Cruz (2012) and Sharma and Bhat (2014) Facilitate quick decision-making Lin et al (2006), Cruz (2012) and Sahu et al (2018) Getting demand information as soon as possible Lin et al (2006), Carvalho and Cruz-Machado (2011), Cruz (2012) and Sahu et al (2018) Reduce product development cycle time Swafford et al (2008), Carvalho and Cruz-Machado (2011), Cruz (2012) and Azevedo et al (2016) Ensuring and the growth of customer relationships Lin et al (2006), Agarwal et al (2007), Cruz (2012), Gorane and Kant (2016), Malakouti et al (2017) and Sahu et al (2018) Increased production of new products Lin et al (2006), Agarwal et al (2007), Swafford et al (2008), Azevedo et al (2010), Cruz (2012), Azevedo et al (2016) and Sahu et al (2018) Speed on delivery of goods Agarwal et al (2007), Swafford et al (2008), Azevedo et al (2010) and Cruz (2012) Market sensitivity Agarwal et al (2007), Sharma and Bhat (2014) and Sahu et al (2018) Reduce the time interval between order and delivery Agarwal et al (2007), Swafford et al (2008), Cruz (2012) and Azevedo et al (2016) Improved s...…”

“…et al (2008),Azevedo et al (2010),Cruz (2012) andSahu et al (2018) 23 Ability to reduce production timeSwafford et al (2008),Cruz (2012) andSahu et al (2018) 24 Speed to meet customer needsSwafford et al (2008),Carvalho and Cruz-Machado (2011),Cruz (2012) andSahu et al (2018) 25 Minimize startup and product changes timeAzevedo et al (2010),Cruz (2012) andSahu et al (2018) 26 Ability to produce in small and large batchesAzevedo et al (2010) andCruz (2012) …”