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During recent years, supply chain has become a major subject of management research and manufacturing theory. The impact of various supply chain management practices on project performance has been measured through a combination of a survey and the development of simulation models. Supply chain performance measurement on the road project has not be...
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... measurement of supply chain must be classified to the clear steps because procurement and material storage on construction sites determine the success of project [10] [11]. Fig. 2 explains about steps of performance measurement: The first step is set Key Performance Indicator from SCOR. SCOR (Supply Chain Operations References) is a reference model that is based on the supply chain process [12]. This model integrates three main elements in the management of business process reengineering, benchmarking, and ...
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Citations
... From Table 5, most authors have integrated the SCOR and such as analytic hierarchy process (AHP) [10,36,42,43,53,54],technique for order preference by similarity to ideal solution (TOPSIS) [4,6,41]. ...
... A multi-attribute decision-making technique, an analytic hierarchy process (AHP), is employed to make decisions based on the priority of performance indicators. Analytic hierarchy process (AHP) is a measurement theory through pair comparisons based on evaluation experts to get the priority scales and an algorithm capable of solving complex decision-making problems into a hierarchy system [43]. The AHP determines the relative performance of all alternatives based on actual data. ...
... Elgazzar et al. [36] used the Dempster Shafer/analytical hierarchy processes (DS/ AHP) model to connect the performance of SC processes to the firm's financial performance by defining the relative importance weights of SC performance measures regarding financial performance priority. Then, Wibowo and Sholeh [43] employed the AHP to weigh KPIs from SCOR, such as customer-facing with internal facing. For instance, responsiveness and flexibility are customer-facing, whereas cost with assets is internal. ...
Performance measurement is critical for assessing the success of the supply chain. The supply chain operations reference (SCOR) model is one famous model used to measure supply chain performance. This study aims to identify gaps and provide future research directions using the SCOR for supply chain performance. Furthermore, this study proposed a conceptual framework that can be used as a guideline for real-life projects. This study was carried out in 2023 by reviewing previous articles that employed the SCOR model in supply chain performance between 2010 and 2022. The study applied the systematic mapping study processes to provide an overview of measuring supply chain performance using the SCOR model. This review disclosed that SCOR was a valuable management tool for measuring the performance of supply chains. It was one of the most commonly used models for assessing supply chain performance. The SCOR model has been used widely in different countries, industries, firms, and supply chains. Most of the previous studies worked with a case study and survey research. Level 1 of the SCOR metrics was employed the most. This review is the first attempt to investigate how the SCOR is used in supply chain performance measurement to the best of the author’s knowledge. Integrating emerging information technologies (such as blockchain, Internet of Things, artificial intelligence, and cloud computing) into the SCOR framework is a growing trend that drives the supply chain toward sustainability.
... Qrunfleh and Tarafdar (2014) added other criteria such as meeting changes in customer demand and specifications, and shorter order delivery cycle time. Exploring supply chains in road projects, Wibowo and Sholeh (2015) indicate that key performance indicators (KPI) that can be used to measure supply chain performance embrace: supply inventory days, cost of SCM, flexibility of production, lead-time of order execution, as well as perfect completion of orders. Chehbi-Gamoura et al. (2020) mentioned that SC performance measurements can be categorized using the SCOR model, which provides standard guidelines for companies to examine SC configuration, identify metrics, and apply best practices. ...
This study aims at exploring the impact of the performance of supply chain dimensions (plan-based, source-based, make-based, delivery-based, and return-based performance) on the financial performance of industrial firms. Using a questionnaire, data were collected from a sample consisting of 250 supply chain and financial managers. Analysis data via IBM SPSS and AMOS, the results showed that hypothesized effects were supported except one hypothesis. That is, the results revealed that plan-based, source-based, make-based, and delivery-based performance have significant effects on firm' financial performance. However, there was a significant negative effect of return-based performance on financial performance. The results concluded that firms should individually influence the supply chain dimensions to address the effects of their performance on financial performance.
... Irizarry et al. (2013) presented an integrated formulation combining GIS-BIM (geographic information systems-building information modeling) to depict resource flow and map accessibility in SCM visually. Wibowo and Sholeh (2015) assessed supply chain performance in road projects using the Supply Chain Operations Reference (SCOR) model as a crucial performance indicator alongside the analytical hierarchy process (AHP). Sutterby et al. (2023) focused on a leading private construction firm in Australia and examined the COVID-19 pandemic's impact on its daily operations. ...
Recently, the benefits of employing philosophical principles to optimize supply chains in the construction sector have been delved into by many researchers. This comprises three key segments: customers or employers, design, and construction. To address challenges and enhance the viability and competitiveness of the construction sector, the adoption of supply chain management has been proposed. This study develops a multi-objective mathematical model to design a construction supply chain, which includes a primary supplier and multiple customer projects. The primary goal is to ensure that the necessary materials are delivered at different intervals, considering each product's specific technical requirements and life cycles. It is crucial to prevent late deliveries, as they can lead to product wastage and substantially impact management decisions. Additionally, it is important to highlight that this study addresses the uncertainty in the supply chain, which further complicates the planning and decision-making processes. Accordingly, some related sensitivity analyses were done to reveal the profound influence of uncertainty on the proposed model, and its important uncertain parameters were specified. Next, the study employs the robust programming approach introduced by Bertsimas and Sim to tackle the uncertainty. To validate the proposed approach, it is implemented in a real-world case study. For small-size problems, the modified weighted Chebyshev method is used for solving the model. Then, the best–worst multi-criteria decision-making technique assesses the suggested model's ability to solve various problems in larger sizes. Subsequently, the study applies meta-heuristic algorithms like MOGA-II, MORDA, and MOSA to solve large-size problems. According to the outputs analysis, the MORDA algorithm executed better than the others. Ultimately, the study derives managerial insights based on the findings from the sensitivity analysis.
... This is due to the fact that the elements are the normalized eigenvectors associated with the highest Eigenvalue of the comparison matrix. To do this, one must double the weights along each road segment, starting at the top of the hierarchy and working one's way down to the bottom of the options available [28][29][30]. ...
The management technique to keep the construction project on schedule as much as possible is to boost productivity. The construction industry's poor productivity is due in large part to its fragmented character, as well as the standard usage of Computer Aided Drafting technology, and the scale of construction businesses. This study analyses the effective variables in adaptive project performance in Iraq, which may assist address the problem of project schedule and cost in Iraq based on the nature of the effective building elements. It describes three phases of the project life cycle that affect construction projects. In building projects, prepared surveys and expert opinions were utilized to analyze effective performance elements and the extent of their influence. The information transferred from linked components evaluated by the Weighted Sum Model (WSM) was connected with the Analytic Hierarchy Process (AHP) model. In a cost-based hierarchy, the results identified the primary effective variables influencing the adaptive view and performance of the project. The matrices were designed to facilitate pairwise comparisons by experts. The WSM-AHP ranked the delay in the construction of the structure, design documentation issues, and construction phase hurdles as having a greater impact on the project performance.
... When there is a risk to human life, the stakes are always extremely high, and as a result, it is critical to constantly make the appropriate choices. Not only are the challenges involving many factors exceedingly complicated when determining whether or not to employ a specific drug, therapy, or piece of medical equipment, but several parties are also profoundly affected by the implications of the decision [24][25][26]. Step 2: After that, we determined the priority vector by computing the mean value of each row, also known as the priority vector. According to Equation (2), the eigenvectors of matrix A are each column and any nonzero vectors that are X i . ...
The most important part of managing a high-rise building project is to establish an appropriate safety margin to make it as safe as possible. Every factor must be taken into account before the start of construction to ensure the highest possible safety standards. In Iraq, the most difficult part of constructing a high-rise building is to identify the best way to manage the project and recognise the risks that come with it. The purpose of this thesis is to determine the risk factors associated with high-rise building projects and to develop the highest possible safety margin. To achieve this, 36 different criteria were analysed from previous studies and the risk management process was divided into four steps: using the Guttman scale, the Likert scale, a risk matrix, and multi-criteria decision-making (MCDM). The MATLAB program was utilized to explore the influence of this method, and the results were applied to a BIM model to observe significant results. Ultimately, all considerations should be taken into account before high-rise construction projects begin in order to make them as risk-free as possible.
... In addition, supply chain measurement needs to provide direction in strategic decisions in dealing with competitors in international and domestic markets. Systems in industries that include suppliers and consumers are known as supply chains (Wibowo, 2015). ...
Batu City is the largest apple producer in Indonesia, producing around 55,891 tons. One way to optimize supply chains is sustainable supply chain performance in the economic, social, and environmental fields. Problems in apple chip small- and medium-scale enterprises (SMEs) are the price of apples increases in the dry season, accumulation of apple peel waste, and poor employee work performance. This study aimed to analyze the level of importance variables in measuring the supply chain performance level and the strategies to improve the supply chain of apple chips SMEs in Batu City. The integration of quality function deployment (QFD) and Fuzzy analytical network process (FANP) was used to obtain the level of cooperation interest. Data envelopment analysis (DEA) was used to determine the efficiency of each stakeholder's interest. The results showed that the three highest important cooperative behavior factors were production costs (0.16), raw material costs (0.15), and raw material inventory (0.14). The efficiency level of partner cooperation and apple chip SMEs from 17 SMEs indicated that two partners were inefficient, with an efficiency score of 0.973 (D3) and 0.957 (D4). The improvement strategies proposed to apple chip SMEs were reducing production costs, revising agreements between suppliers and farmers, and implementing information technology.
... However, a single agency or organization can't address many of the problems facing growth today. According to Wibowo and Sholeh (2015), the problems are complex and require countless actors, such as donors who finance projects, officials receiving authority over the region where the projects are being carried out, and local and domestic stakeholders who know best local interests and have the ability of assisting in informing and engaging the local communities; Engagement in this context means the opportunity to identify, employ, involve significant local stakeholders in project-related activities and sustain their participation through continuous contact for the duration of the project. ...
... The risks when it failed to be properly managed could affect failure in the certain project phase, overrun until the ultimate risk to fail the whole project progress (Shojaei and Haeri, 2019). Different from the above results' research, Wibowo and Sholeh (2015) have utilised logistics as an important matter recommended by the supply chain operations references (SCOR) as a key performance indicator (KPI). Sobotka et al. (2017) even more have suggested utilising reverse logistics during construction. ...
... Further, to identify the key components of an SCPM system, they concentrated on the design stage. Several authors [11,15,[24][25][26][27] tried to use the SCPMS framework for both small and medium enterprises (SMEs) and large enterprises. A comprehensive performance measurement framework using a balanced scorecard (BSC) and supply chain operation reference (SCOR) was employed for SMEs [15,24]. ...
... A comprehensive performance measurement framework using a balanced scorecard (BSC) and supply chain operation reference (SCOR) was employed for SMEs [15,24]. SCPM has also been attempted in various industries such as the construction industry [25], automobile industry [26], apparel industry [27], footwear industry [28], etc. It has also been attempted in Industry 4.0 using intelligent approaches [29]. ...
A business organization needs a supply chain performance management system (SCPMS) to build an effective and efficient supply chain (SC) that will provide much-needed sustainability. The performance evaluation of supply chain management (SCM) is difficult and needs consideration of several important enablers. In such situations, the development of an SCPMS can facilitate understanding and integration among the SC partners. The SCPMS is influenced by many enablers that play a positive role; hence, the study of these enablers becomes significant. Therefore, the purpose of this study was to identify and rank the key SCPMS enablers. The identified SCPMS enablers were modeled using interpretive structural modeling (ISM) and ranked through an interpretative ranking process (IRP). The SCPMS enablers were further categorized using MICMAC. The results show that “SCPMS awareness”, “top management commitment”, and “financial commitment towards SCPMS” must be controlled for sustainability as they are independent enablers. “Benchmarking”, “appropriate performance matrix”, and ”employee commitment” were the three top enablers.
... Liang, 2015;Yusuf et al., 2020) Internal Process Performance Speed, quality, cost and flexibility of supply chain process improvements (Dörnhöfer et al., 2016;Eskafi et al., 2015;Govindan et al., 2015;Haghighi et al., 2016;Hemalatha et al., 2017;Y.-H. Liang, 2015;Wibowo & Sholeh, 2015) Inventory Levels ...
... Ashrafuzzaman et al., 2016;Balfaqih et al., 2017;Charkha & Jaju, 2014;Haghighi et al., 2016; Yan Liu et al., 2019; S. K. Goodarzi, Abdollahzadeh, & Zeinalnezhad, 2022; Yan Liu et al., 2019;Sahu et al., 2017;Simão et al., 2021;Sufiyan et al., 2019;Tseng et al., 2018;Tseng et al., 2019;Uygun & Dede, 2016;Yusuf et al., 2020) Financial PerformanceContains pre-tax return on assets (ROA), return on investment (ROI) and return on sales (ROS)(Balfaqih et al., 2017;Charkha & Jaju, 2015;Eskafi et al., 2015;Govindan et al., 2015;Hemalatha et al., 2017;Y.-H. Liang, 2015;Tseng et al., 2019;Wibowo & Sholeh, 2015;Yusuf et al., 2020) ...
... S. Patil, 2015;S. K. Patil & Kant, 2016;Sufiyan et al., 2019;Tseng et al., 2019;Tyagi et al., 2015;Wibowo & Sholeh, 2015) ...
Companies create supply chains (SC) to gain added value, but collaborative relationships don’t mean they all receive a balanced share of this value due to power asymmetry. The success of an SC depends on its ability to deliver the required products/services to the customer with specific quality and characteristics on time and in the right place. We study SC performance measures as the decision-making criteria given the primary goal of profit maximization in SC management. Different kinds of power are classified, and a process is proposed to choose the most appropriate form of power for companies at each level of SC. Using a mixed Best-Worst Method (BWM) Fuzzy soft set approach, the suitable power form for each company is determined. The results show there is not one best power form to be prescribed for all firms, so each company may need different strategies to achieve different power positions depending on its relationship with other SC echelons. We also present a sensitivity analysis to demonstrate the robustness of our proposed approach.
