# Evaluating and Ranking SCPMS Enablers Using ISM and SWARA
## 2 Literature Review  
Several studies have identified and investigated the relationship among critical success factors, variables, enablers, and barriers to SCPMS implementation. To visualize and comprehend the significance of SCM performance monitoring and related metrics, several scholars created a framework connected to SCPMS [2]. A framework for agricultural SCPM was developed using an IoT-based data-driven approach [1]. A theoretical framework of SCPM was developed by considering time, profitability, order book analysis, and managerial analysis, before being validated using a case problem [23]. A theoretical framework based on a qualitative approach using key performance indicators (KPIs) was designed for retail SC performance [24]. SCPMS has been the subject of several review-based studies in the past. Review-based research has sought to categorize the literature according to the methodologies (hierarchical-based, SCOR, BSC, and process-based), techniques (DEA, AHP, and simulation), case studies, and empirical studies. One such study reviewed 83 research articles from Scopus and ISI databases on SCPMS from 1998 to 2015 in light of approaches, techniques, and criteria [25]. A total of 127 research articles were reviewed for various approaches and techniques of SCPM from 1998 to 2018, and the authors suggested the use of simulation techniques over other techniques for SCPM in volatility [26]. To learn more, review-based research was conducted considering various research methodologies, approaches, problem areas, and requirements considering the new SC era [27]. Various empirical base studies on SCPMS have been carried out. Various SCPM practices were assessed in India [28]. The performance measuring system (PMS) architecture was used to analyze 132 sets of feedback to assess the effectiveness of the red chili supply chain [29]. A research based on 390 respondents consisting of top business people examined the Saudi Arabian corporate sector's supply chain responsiveness, flexibility, and adaptation [30]. A strategic study was carried out on 136 Indian manufacturing sectors to design the SCPMS [31]. Exploratory studies were also carried out in SCM [32] and the GSCM area [33]. Various case studies have been undertaken to study SCPM implementation in several sectors. The balanced scorecard (BSC) is a performance measurement approach that can transform strategy into measurable indicators to implement in the industry [34]. The modified BSC was employed in a combination of analytical hierarchical processes (AHPs) for the PMS of GSC [35]. SCPM was also used in multicriteria decision making (MCDM) in other studies. An investigation using a hybrid fuzzy MCDM approach was conducted to gauge how well the food supply chain (FSC) functions [36; 37; 38]. Evaluation of the environmental performance of the service supply chain was conducted using gray-based hybrid MCDM methodologies from the ELECTRE and VIKOR approaches [39]. The financial performance was assessed using a set of financial ratios and a plithogenic multi-criteria decision making (MCDM) model based on the neutrosophic analytic hierarchy process (AHP), the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method, and the technique in order of preference by similarity to ideal solution (TOPSIS) method [40]. The SCPMS has been designed using perspective-based, process-based, and hierarchical approaches. The balanced scorecard is the most common perspective that researchers have designed and implemented. The perspectives of finance, customer, internal business process, innovation, improvement, and employees' learning and growth have been used to help managers evaluate SCM performance in a balanced way from all angles of business [41]. A process-based performance measurement system measuring the performance of activities was developed to identify the performance measures and metrics [42]. Process-based measurement provides timely information for real-time integration to improve cross-organizational processes.