scholarly journals Theoretical Proposal for an Integrated Sustainability Performance Measurement System in the Supply Chain

2021 ◽  
Vol 2 ◽  
Author(s):  
Davidson de Almeida Santos ◽  
Osvaldo Luiz Gonçalves Quelhas ◽  
Carlos Francisco Simões Gomes ◽  
José Rodrigues de Farias Filho
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chains ◽  
Environmental Impacts ◽  
Performance Indicators ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Production Chain ◽  
Sustainability Performance ◽  
Selection Of

Environmental impacts due to supply chains are seen as a challenge to innovation and criteria for prioritizing the application of organizational resources. In this context, the research question arises: how to build the necessary knowledge about supply chain performance indicators in sustainability, systematizing in an evaluation process integrated with the organizational results? The general objective of this research is to build an integrated system of sustainability performance analysis of the supply chain. In order to achieve the general objective, the specific objectives are the following: (i) selection of the bibliographic portfolio and (ii) analysis of articles content. The exploratory-descriptive research method presents and illustrates a structured process for the selection of scientific articles on supply chain performance indicators in the sustainability context. The method identified the most important keywords and the main databases of full texts and abstracts aligned with the topic. An important review of the literature reveals that efforts to improve or influence the practice of sustainability in the supply chain raise critical questions about the transaction costs and effectiveness of the approach. The review promoted the development of a system of indicators inspired by the Balanced ScorCard (BSC) to address sustainability performance issues. The originality or value lies on the useful for managers throughout the supply chain. It was identified in the literature that supply chains still generate significant environmental impacts, social impacts, and use of natural resources, even though they individually present statements in their strategies and accountability indicating the priority regarding the mitigation of social, environmental, and economic impacts. Another finding is that it is not just a matter of complying with legal and institutional frameworks. The scientific literature defines the need to prioritize studies on Green Supply Chain Management (GSCM), which helps organizations in the production chain to achieve competitiveness and at the same time emphasize the reduction of social risks and environmental impacts. The main findings of the paper are related to the possibility of interfacing the dimensions present in TBL with performance measurement in a supply chain.

scholarly journals Pengukuran Kinerja Rantai Pasok Agroindustri Sirup Markisa Dengan Balance Scorecard di Provinsi Sumatera Utara

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Kimberly Febrina Kodrat ◽  
Sukaria Sinulingga ◽  
Humala Napitupulu ◽  
Rika Ampuh Hadiguna
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Passion Fruit ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Balance Scorecard ◽  
Balance Score Card ◽  
Score Card

Rantai pasok markisa merupakan suatu konsep yang memiliki sistem pengaturan yang berkaitan dengan aliran produk, aliran informasi serta aliran keuangan dalam proses distribusi buah markisa. Pengukuran kinerja rantai pasok merupakan aktivitasaktivitas dalam rangka memenuhi permintaan pelanggan atau persentase dari aktivitas pemenuhan permintaan perusahaan kepada konsumennya. Secara umum pengukuran kinerja rantai pasok dilakukan untuk mengetahui kinerja rantai pasok dalam hal efisiensi biaya dan waktu operasi rantai pasok. Pengukuran ini dilakukan dengan terlebih dahulu menentukan indikator-indikator rantai pasok. Tujuan penelitian ini untuk merancang sistem pengukuran kinerja rantai pasok dengan menggunakan balance scorecard untuk mengidentifikasi kelemahan dan keunggulan dari sistem rantai pasok terkait melalui identifikasi indikatorindikator kunci (key performance indicators) kinerja rantai pasok agroindustri markisa. Metode penelitian ini menggunakan metode survei dengan teknik observasional deskriptif. Hasil penelitian menetapkan18 KPI yang relevan digunakan untuk mengukur kinerja rantai pasok agro industri markisa dengan menggunakan Balance Score Card dan pada Perspektif customer merupakan yang menjadi prioritas yang dibuktikan dari 3 KPI pada urutan tertinggi bobotnya masing-masing: 1) tingkat kepuasan pelanggan (C2) dengan bobot 0,1098, 2) peningkatan kualitas (C1) dengan bobot 0,0897 dan 3) tingkat ketertarikan pelanggan terhadap produk ramah lingkungan (C4) dengan bobot 0,0801 serta kinerja rantai pasok agroindustri markisa 4,3228 (cukup baik).   Passion fruit supply chain is a concept that has a regulatory system related to product flow, information flow and financial flow in the process of distribution of passion fruits. Supply chain performance measurement is activities in order to meet customer demand or a percentage of the company's demand fulfillment activities to consumers. In general, supply chain performance measurements are carried out to determine supply chain performance in terms of cost efficiency and supply chain operating time. This measurement is done by first determining the supply chain indicators. The purpose of this study was to design a supply chain performance measurement system using a balance scorecard to identify weaknesses and advantages of the related supply chain system through the identification of key performance indicators of the passion fruit agro-industry supply chain performance. This research method uses survey methods with descriptive observational techniques. The results determined 18 relevant KPIs were used to measure the performance of the passion fruit agro industry supply chain by using a Balance Score Card and the customer perspective was the priority as evidenced by 3 KPIs in the highest order of their respective weights: 1) the level of customer satisfaction (C2) with weight 0.1098, 2) quality improvement (C1) with a weight of 0.0897 and 3) level of customer interest in environmentally friendly products (C4) with a weight of 0.0801 and the performance of the passion fruit agro-industry supply chain 4.3228 (good enough). 

Supply Chain Performance Measurement: A Review and Reflection

2015 ◽  
Vol 813-814 ◽  
pp. 1208-1216
Author(s):  
Equbal Asif ◽  
Rajkumar Ohdar
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Performance Measures ◽  
Global Market ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Market Place ◽  
Measurement Systems ◽  
Performance Measurement Systems ◽  
Selection Of

In present global market place, to meet ever-changing customer needs timely and accurate assessment of overall supply chain and its individual component performance is of paramount importance but the process of choosing appropriate supply chain performance measures is difficult due to the complexity of these systems. This paper presents an overview of the performance measures used in supply chain models and also presents a basic to understand the selection of performance measurement systems for supply chains. A number of performance measures are identified as necessary components in any supply chain performance measurement system.

Determining and applying sustainable supplier key performance indicators

2014 ◽  
Vol 19 (3) ◽  
pp. 275-291 ◽  
Author(s):  
Chunguang Bai ◽  
Joseph Sarkis
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Rough Set ◽  
Performance Indicators ◽  
Supply Chain Performance ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainability Performance ◽  
Neighborhood Rough Set ◽  
Performance Results

Purpose – The purpose of this paper is to introduce a methodology to identify sustainable supply chain key performance indicators (KPI) that can then be used for sustainability performance evaluation for suppliers. Design/methodology/approach – Initially the complexity of sustainable supply chain performance measurement is discussed. Then, a two-stage method utilizing neighborhood rough set theory to identify KPI and data envelopment analysis (DEA) to benchmark and evaluate relative performance using the KPI is completed. Additional analysis is performed to determine the sensitivity of the KPI set formation and performance results. Findings – The results show that KPI can be determined using neighborhood rough set, and DEA performance results provide insight into relative performance of suppliers. The supply chain sustainability performance results from both the neighborhood rough set and DEA can be quite sensitive parameters selected and sustainability KPI sets that were determined. Research limitations/implications – The data utilized in this study are illustrative and simulated. Only one model for the neighborhood rough set and DEA was utilized. Additional investigations using a variation of rough set and DEA models can be completed. Practical implications – This tool set is valuable for managers to help identify sustainable supply chain KPI (from among hundreds of potential measures) and evaluate sustainability performance of various units within supply chains, including supply chain partners, departments, projects and programs. Social implications – Sustainability incorporates many business, economic and social implications. The methods introduced in this paper can help organizations and their supply chains become more strategically and operationally sustainable. Originality/value – Few tools and techniques exist in the sustainable supply chain literature to help develop KPIs and evaluate sustainability performance of suppliers and the supply chain. This paper is one of the first that integrates neighborhood rough set and DEA to address this important sustainable supply chain performance measurement issue.

scholarly journals Performance Management of Supply Chain Sustainability in Small and Medium-Sized Enterprises Using a Combined Structural Equation Modelling and Data Envelopment Analysis

2019 ◽  
Author(s):  
Prasanta Kumar Dey ◽  
Guo-liang Yang ◽  
Chrysovalantis Malesios ◽  
Debashree De ◽  
Konstantinos Evangelinos
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Structural Equation ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Sustainable Supply Chain ◽  
Policy Makers ◽  
Sustainability Performance ◽  
Equation Modelling ◽  
Improvement Measures

AbstractAlthough the contribution of small and medium-sized enterprises (SMEs) to economic growth is beyond doubt, they collectively affect the environment and society negatively. As SMEs have to perform in a very competitive environment, they often find it difficult to achieve their environmental and social targets. Therefore, making SMEs sustainable is one of the most daunting tasks for both policy makers and SME owners/managers alike. Prior research argues that through measuring SMEs’ supply chain sustainability performance and deriving means of improvement one can make SMEs’ business more viable, not only from an economic perspective, but also from the environmental and social point of view. Prior studies apply data envelopment analysis (DEA) for measuring the performance of groups of SMEs using multiple criteria (inputs and outputs) by segregating efficient and inefficient SMEs and suggesting improvement measures for each inefficient SME through benchmarking it against the most successful one. However, DEA is limited to recommending means of improvement solely for inefficient SMEs. To bridge this gap, the use of structural equation modelling (SEM) enables developing relationships between the criteria and sub-criteria for sustainability performance measurement that facilitates to identify improvement measures for every SME within a region through a statistical modelling approach. As SEM suggests improvements not from the perspective of individual SMEs but for the totality of SMEs involved, this tool is more suitable for policy makers than for individual company owners/managers. However, a performance measurement heuristic that combines DEA and SEM could make use of the best of each technique, and thereby could be the most appropriate tool for both policy makers and individual SME owners/managers. Additionally, SEM results can be utilized by DEA as inputs and outputs for more effective and robust results since the latter are based on more objective measurements. Although DEA and SEM have been applied separately to study the sustainability of organisations, according to the authors’ knowledge, there is no published research that has combined both the methods for sustainable supply chain performance measurement. The framework proposed in the present study has been applied in two different geographical locations—Normandy in France and Midlands in the UK—to demonstrate the effectiveness of sustainable supply chain performance measurement using the combined DEA and SEM approach. Additionally, the state of the companies’ sustainability in both regions is revealed with a number of comparative analyses.

scholarly journals Performance measurement for supply chains in the Industry 4.0 era: a balanced scorecard approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Francisco Frederico ◽  
Jose Arturo Garza-Reyes ◽  
Anil Kumar ◽  
Vikas Kumar
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chains ◽  
Balanced Scorecard ◽  
Industry 4.0 ◽  
Theoretical Perspective ◽  
Performance Measurement System ◽  
Content Type ◽  
The Balanced Scorecard ◽  
Performance Measurement Systems

PurposeThe purpose of this paper is to present a theoretical approach based on the balanced scorecard (BSC) with regard to performance measurement – PM in supply chains for the Industry 4.0 era.Design/methodology/approachThis paper combines the literature of PM and specifically the BSC with the literature related to the dimensions of supply chain in the context of Industry 4.0.FindingsDimensions extracted from the literature based on supply chains within the context of Industry 4.0 showed a strong alignment with the four perspectives of the BSC, which make it suitable to be considered as a performance measurement system (PMS) for supply chains in this new context.Research limitations/implicationsFrom theoretical perspective, this study contributes to the limited literature on PM for supply chains in Industry 4.0 era. The study proposes a supply chain 4.0 Scorecard and strongly support researchers to conduct future empirical researches in order to get a deeper understanding about PM in supply chains in the Industry 4.0 era. As limitations, the theoretical framework proposed needs further empirical research in other to validate it and obtain new insights over the investigation conducted and presented into this paper.Practical implicationsPractitioners can use this study as a guide to develop more effective performance measurement systems – PMSs in their organizations.Originality/valueThis research is unique as it addresses a significant knowledge gap related to PM in supply chains in the Industry 4.0 era. It brings a significant contribution in terms of understanding how to measure performance in supply chains in this new era.

scholarly journals Key characteristics for designing a supply chain performance measurement system

2019 ◽  
Vol 68 (2) ◽  
pp. 296-318 ◽  
Author(s):  
Sara Elgazzar ◽  
Nicoleta Tipi ◽  
Glynis Jones
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Conceptual Framework ◽  
Measurement System ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Content Type ◽  
Design Elements ◽  
Practical Implications ◽  
Insight Into

Purpose The purpose of this paper is to conduct a review of the literature that gives insight into design elements for constructing a supply chain performance measurement (SCPM) system. Design/methodology/approach A systematic review of published research on SCPM systems and frameworks over the last two decades was conducted with the purpose of categorising key functions of SCPM systems by providing an insight into the design, functionality, implementation and practical implications of SCPM systems. Findings The review revealed a set of functions governing the SCPM system that have not been fully explored in previous research: the process focus, prioritisation, integration and causality functions of a SCPM system. A relationship between two or more functions can be created to include more functionality based on the needs of the company to create a comprehensive performance measurement system. Research limitations/implications The paper concludes with a conceptual framework to guide future research in the area of designing a SCPM system and define the main aspects that should be considered when developing a SCPM system. Practical implications The paper brings a new dimension to the SCPM research by identifying the main functions of SCPM systems that could benefit practitioners to set up a SCPM system relevant to its intended function. The paper presents multiple potential stages of merging different functions in one SCPM system. Based on the company’s needs and context, the functionality of the SCPM system can be designed at four levels creating ten possible scenarios when designing a company’s SCPM system. Originality/value The paper integrated the literature and findings of 269 research papers of the last two decades, upon which a conceptual framework was developed as a guide for constructing an effective SCPM system.

Humanitarian supply chains and performance measurement schemes in practice

2015 ◽  
Vol 64 (6) ◽  
pp. 784-810 ◽  
Author(s):  
Giulia Santarelli ◽  
Hella Abidi ◽  
Matthias Klumpp ◽  
Alberto Regattieri
Keyword(s):  
Performance Measurement ◽  
Supply Chains ◽  
Measurement System ◽  
Performance Indicators ◽  
Disaster Response ◽  
Added Value ◽  
Operational Performance ◽  
Performance Measurement System ◽  
Content Type ◽  
Humanitarian Supply Chains

Purpose – The purpose of this paper is to provide a system for the performance evaluation of humanitarian supply chains. The system will help humanitarian organizations (HOs) to make better decisions, improve their performance, and provide accountability, as well as helping them measure their operational performance during disaster response and reconstruction projects. Design/methodology/approach – A holistic and implementable performance measurement system was developed to measure the operational performance of HOs during disaster response and reconstruction projects. The system is divided into five categories with several key performance indicators (KPIs) being identified for each; identifiers are qualitative and quantitative, as well as financial and non-financial. Findings – Empirical testing of the system demonstrated the low use of existing performance indicators in humanitarian supply chains and the possible added value for HOs to improve their operational efficiency. Social implications – The performance measurement system could help HOs improve their operations and resource allocation. Originality/value – The paper is one of the first research contributions in which a sample of developed KPIs is empirically tested in various HOs. Prior to this paper, a limited number of articles examined the performance of HOs, and no defined system of KPIs existed. By analyzing real results in the field of the humanitarian projects and applying the proposed performance measurement system, it will be possible to define a set of best approaches to improve the effectiveness and efficiency of humanitarian supply chains.

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