Ranking the barriers of supplier development using fuzzy AHP approach

Routroy

2018

BIJ

Purpose The purpose of this paper is to analyze preferred supplier enablers (PSEs) and measure the interdependencies among themselves for enhancing preferred supplier relationship. Design/methodology/approach In the current study, an approach has been developed in which the significance of various PSEs was determined by applying Fuzzy Analytic Hierarchy Process (FAHP) and the prominent PSEs were screened out through Pareto analysis. Also, the interdependence among the prominent PSEs was measured by applying the Fuzzy Decision Making Trial and Evaluation Laboratory method in order to select the right PSEs in ascribing the Preferred Supplier Status. Finally, the weakest relationships among the PSEs were confirmed by applying the student’s t-test and then an impact relationship map of PSEs was developed. Findings The strength of relationships among the PSEs, grouping of PSEs into causes and effects on a causal diagram and a concise impact relationship map of PSEs were determined. Further, the PSEs that a manufacturer must primarily focus and monitor were also obtained. Research limitations/implications The study was conducted in an Indian electronic manufacturing environment. Therefore, the results obtained would be more relevant to the high end technology product manufacturers operating in the developing countries. Practical implications From the current study, a manufacturer can alleviate, favorably associate and integrate with the good suppliers and then eventually establish a strong supply base. Originality/value Manufacturers are looking for the closer and favored relationships by bringing in the concept of preferred supplier while dealing with their key suppliers. Thus, the results obtained from the current study would be of great assistance to a manufacturer in gaining an extra cutting-edge and, in turn, tackling the increased competitive pressures and reduced availability of resources.

Section: Methodology Adopted For Measuring the Interdependencies Of Psesmentioning

confidence: 99%

Measuring interdependencies of preferred supplier enablers

Routroy

2018

BIJ

“…Hence, there is stringent need to study and prioritize these barriers. High investment and implementation cost (Raj et al ., 2019; Kamble et al ., 2018; Aggarwal et al ., 2019; Yadav and Desai, 2017; Campos, 2013); employee fear and resistance to change (Moeuf et al ., 2019; Aggarwal et al ., 2019; Khan and Haleem, 2015; Yadav et al ., 2018; McLean and Antony, 2014), lack of top management commitment (Dalvi and Kant, 2017; Yadav and Desai, 2017; Gijo and Antony, 2014; Sevinc et al ., 2018; Rafique et al ., 2016), unavailability of skilled manpower and need for enhanced skills (Khanzode et al ., 2020; Saniuk and Grabowska, 2020; Nagy et al ., 2018) and other listed in Table 1 are identified as barriers through literature search and with the opinion of the experts from the selected domain. After going through the review of the existing literature, it is perceived that several studies had analyzed LSS barriers and their contextual relationships, but no such effort is testified in these potential barriers in view of Industry 4.0.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy AHP approach for barriers to implement LSS in the context of Industry 4.0

Brar²,

Singh³

et al. 2022

IJPPM

PurposeThe purpose of the present work is identification and prioritization of barriers to Lean Six Sigma (LSS) implementation in Indian manufacturing industries in the context of Industry 4.0 (I4.0) to surmount the impediments in the path of successful implementation.Design/methodology/approachIn total, 27 barriers identified through critical review of literature and expert's opinion are evaluated with Cronbach's alpha values including item-total correlations or corrected item-total correlations (CITC) using statistical tool. Finally, 20 barriers were analyzed and ranked employing Fuzzy Analytical Hierarchy Process (FAHP).FindingsThe study depicts that “Lack of leadership, advisory and monitoring,” “Lack of clarity about economic benefits” and “Lack of integration of LSS with smart tools/I4.0” are potential barriers to drive the path for proper implementation of LSS in Industry 4.0 with due consideration of its technologies in Indian manufacturing industries.Practical implicationsThe study provides better knowledge platform for academicians and researchers about hidden aspects of LSS implementation barriers in view of advanced manufacturing technologies. This research will help the practitioners to design their business plans in implementing new quality improvement tools to get advantage in current competitive environment.Originality/valueThe barriers are selected based on literature and opinion from industry and academic experts. Five major criteria are decided after incorporating inputs. The ranking of the barriers is attained by well standard mathematical technique. This will enable the practitioners to design strategies to eliminate the hindrances in order to shape the right path for effective implementation of LSS approach in view of advanced manufacturing technologies.

“…Many researchers adopted the FAHP over method over AHP for solving various supplier research problems and reported improved decision making. The said research problems include but not limited to evaluating the risk of green components (Hu et al, 2009); supplier selection and evaluation (Alinezad et al, 2013); supplier evaluation and ranking (Tadić et al, 2014); supplier segmentation (Lo and Sudjatmika, 2016); analysing the barriers to supplier development (Dalvi and Kant, 2017); The procedural steps followed for determining the relative importance of PSEs in terms of weights.…”

Section: Fuzzy Analytic Hierarchy Process For Screening the Psesmentioning

confidence: 99%

Developing the preferred supplier relationships - a case study

Routroy

2018

IJIE

The manufacturer-supplier relationships along the manufacturing supply chains have become the rich sources for generating the sustainable competitive advantages. Consequently in developing these relationships, often the manufacturers are inclined to have preferred supplier relationships established so as to cater their long-term requirements. In this regard, a manufacturer must adopt a scientific process to favourably associate with few selected suppliers and eventually choose to develop the right suppliers in order to generate the supply base advantages over the other manufacturers. However, in practice often the right suppliers are not systematically promoted and thereby the opportunities for achieving the potential growth of manufacturing supply chains are greatly lost. Considering this issue, the current study is focused on proposing a systematic approach for establishing the preferred supplier relationships. By implementing the proposed process, a manufacturer can ensure that the right suppliers are professionally endorsed and the manufacturer-supplier relationships are optimally flourished.