scholarly journals DECISION SUPPORT MODEL FOR SUPPLY CHAIN MANAGEMENT

TEME ◽  
2021 ◽  
pp. 1457
Author(s):  
Dragana Rejman Petrović ◽  
Predrag Mimović ◽  
Zora Arsovski
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Decision Support ◽  
Supply Chains ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Strategic Decision ◽  
Supply Chain Performance ◽  
Different Types ◽  
Chain Type

The purpose of this paper is the creation of a model for supply chain performance optimization and the development of a prototype of the decision support system.The study covered an efficient and agile supply chain type. The Analytic Hierarchy Process was used (AHP) for the evaluation and ranking of supply chains.The research on this topic have dealt with the evaluation and ranking of suppliers within supply chains not considering the characteristics of different types of supply chains. The contribution of this work is in the development of a new model that enables the evaluation and ranking of supply chains considering the priorities of key performance indicators in different types of supply chains, providing management with the support in decision making through simulation and the finding of optimum solutions for the specific supply chain type, as well as the possibility of evaluation and ranking of different supply chain types on the basis of weighted overall performance of each supply chain.Developed and suggested models provide company management with monitoring and control of individual key performance indicators and total supply chain performance, and in this way, become the support to the management in strategic decision making.

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). 

scholarly journals Digital Strategy Decision Support Systems: Agrifood Supply Chain Management in SMEs

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 274
Author(s):  
Maria Kamariotou ◽  
Fotis Kitsios ◽  
Chrysanthi Charatsari ◽  
Evagelos D. Lioutas ◽  
Michael A. Talias
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Information Systems ◽  
Supply Chains ◽  
Customer Value ◽  
Critical Role ◽  
Cost Savings ◽  
Strategic Decision ◽  
Digital Tools ◽  
It Executives

The specific attributes of agrifood supply chains, along with their importance for the economy and society, have led to an increased interest in the parameters that enhance their effectiveness. Recently, numerous digital tools aimed at improving supply chain effectiveness have been developed. The majority of existing research focuses on optimizing individual processes rather than the overall growth of a food supply chain. This study aims to identify the stages of the information systems planning (ISP) process that affect the success of developing a strategic decision support system (DSS) for improving the decision-making process in the agrifood supply chains. Data were collected from 66 IT executives from Greek small and medium-sized enterprises (SMEs) in the agrifood sector and analyzed using regression analysis. The results revealed that situation analysis is the only stage of ISP that predicts ISP success. These findings can assist managers in appreciating the critical role of ISP for improving the performance of agrifood supply chain operations. Implementing the most appropriate information systems (IS) and digital tools results in increased competitive advantage, cost savings, and increased customer value.

scholarly journals Dynamic Model and Graphical User Interface: A Solution for the Distribution Process of Regional Products

2020 ◽  
Vol 10 (13) ◽  
pp. 4481 ◽  
Author(s):  
Ernesto A. Lagarda-Leyva ◽  
Alfredo Bueno-Solano ◽  
Harvey P. Vea-Valdez ◽  
Daniel O. Machado
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
User Interface ◽  
Graphical User Interface ◽  
Performance Indicators ◽  
Process Analysis ◽  
Key Performance Indicators ◽  
Food Distribution ◽  
Technological Solution ◽  
Distribution Process

Organizations in the agroindustry sector face shorter delivery schedules; therefore, they are seeking ways to conduct more effective and less costly product distribution. Supply chain management efforts have focused on improving the flow of both products and information. Thus, the aim of this case study was to build a graphical user interface to enable decision-making based on quantitative information for a food distribution process. The problem to be solved was associated with the development of a technological solution to reduce and control variations in transportation times, delivery costs and capacities in cold and dry food distribution. An eight-step system for a dynamics methodology was used: (1) distribution process analysis, (2) route description, (3) variable and parameter description, (4) causal loop diagram creation, (5) current model simulation, (6) validation, (7) quantitative scenario construction based on key performance indicators, and (8) graphical user interface development. The main findings of this research were that the graphical user interface and simulation showed information that represented on average 56.49% of the total distribution costs regarding fuel and that maintenance and tire wearing costs had less of an impact on total costs, representing 9.21% and 3.66% of the total costs, respectively. Additionally, the technological solution—created for the supply chain in the distribution process against the background of changes in policies—makes it possible to improve decision-making based on different scenarios supported by a graphical interface according to key performance indicators. This solution could be used by different organizations who aim to reduce logistics and transportation costs. The main implications of this research were the available and organized information and the restructuring of the distribution process.

scholarly journals Railway supply chain excellence through the mediator role of business intelligence: Knowledge management approach towards information system

2022 ◽  
Vol 10 (1) ◽  
pp. 125-136 ◽  
Author(s):  
Mailasan Jayakrishnan ◽  
Abdul Karim Mohamad ◽  
Mokhtar Mohd Yusof
Keyword(s):  
Decision Making ◽  
Information System ◽  
Knowledge Management ◽  
Supply Chain ◽  
Decision Support ◽  
Support System ◽  
Business Intelligence ◽  
Decision Making Process ◽  
Supply Chain Performance ◽  
Performance Diagnostics

The features of a holistic view in an organization create the data value of the Business Intelligence (BI) and Knowledge Management (KM) in viewing the big picture of organizational performance diagnostics framework. This research focuses on the specific features of railway supply chain performance in viewing the decision-making process and creating better knowledge formation. The intention of the study is to structure supplier performance using BI-KM framework development to determine holistic perspective factors. The outcomes indicate that BI and KM significantly increased the railway supply chain and significantly increased the information system. This BI-KM framework relates the current analytic characteristics in designing the railway supply chain towards information system in determining the strategic theme of the decision-making process of the decision support system together with system features, characteristics of data, the content of the themes, and the effect of the decision-making process and for executive strategic performance diagnostics tool that provides effective strategic decision making in supply chain performance. The quantitative research method uses SmartPLS software version 3.2.8 for empirical analysis through distributing survey questionnaires to 320 railway suppliers in Malaysia. Using a model-driven development framework, to measure the implementation success of the decision support system, the study is conducted in the railway supplier focusing on strategic management that helps to make the decision and facilitate the organizational success.

Implementation of a Simulation Model for Optimizing the Traffic Flow from Arafat to Muzdalifah

2017 ◽  
Vol 13 (33) ◽  
pp. 390
Author(s):  
Arwa Jamjoom
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Traffic Flow ◽  
Visual Feedback ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Primary Objective ◽  
Experimental Results ◽  
Different Types ◽  
Support Decision Making

This project simulates the flow of pilgrims when they travel from Arafat to Muzdalifah. The system includes the roads network that connects Arafat to Muzdalifah, which is represented as a queuing system with different queue measurements that simulate reality. The system also includes different types of transportation, such as small and large buses and trains, all of which are represented as objects with different size and colors. All system objects carry specifications as their corresponding source system objects, and these specifications are based on data collected by the Ministry of Hajj. The primary objective of the system is to answer “what if” questions to support decision making to optimize Hajj traffic, which can be achieved by manipulating the system’s variables and then by observing the key performance indicators of the system. The system presents the experimental results as visual feedback alongside written reports with statistics and illustrations.

Supply chain performance benchmarking using grey-MOORA approach

2014 ◽  
Vol 4 (1) ◽  
pp. 24-55 ◽  
Author(s):  
Anoop Kumar Sahu ◽  
Saurav Datta ◽  
Siba Sankar Mahapatra
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Performance Management ◽  
Complex Problem ◽  
Supply Chain Performance ◽  
Global Marketplace ◽  
Content Type ◽  
Performance Benchmarking ◽  
Ranking Order

Purpose – In today's competitive global marketplace, performance management has been identified as a key strategic consideration towards achieving an efficient supply chain management. The task of estimating supply chain performance extent is seemed a complex problem entitled with multiple subjective performance measures and metrics; subjected to decision-making environment which involves an inherent vagueness, inconsistency and incompleteness associated with decision-makers (DMs) (expert panel) commitment towards assessment of various subjective (quantitative) evaluation indices. Consequently, it becomes difficult towards making a comparative study on performances of alternative supply chains. It is, therefore, indeed essential to conceptualize and develop an efficient appraisement platform helpful for benchmarking of alternative supply chains based on their performance extent. The paper aims to discuss these issues. Design/methodology/approach – The work explores the concept of grey numbers combined with multi-objective optimization by ratio analysis (MOORA) in perceptive to evaluate best alternative from among available alternative supply chains. Findings – The method has been found fruitful to facilitate such a multi-criteria group decision-making (MCGDM) problem under uncertain environment and provides an appropriate compromise ranking order with respect to available possible alternatives. Originality/value – Supply chain performance appraisement provides necessary means by which an organization can assess whether its supply chain is performing well, whether it has been improved or degraded as compared to the past record. The purpose of this research is to develop and to empirically test a multiple-indices hierarchical appraisement model for benchmarking of supply chain performance and its impact on competitiveness of manufacturing industries.

scholarly journals Key Performance Indicators for Adopting Sustainability Practices in Footwear Supply Chains

2021 ◽  
Vol 24 (1) ◽  
pp. 197-213
Author(s):  
Md. Abdul Moktadir ◽  
Yead Mahmud ◽  
Audrius Banaitis ◽  
Tusher Sarder ◽  
Mahabubur Rahman Khan
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Assessment Process ◽  
Knowledge Gap ◽  
Sustainable Practices ◽  
Footwear Industry ◽  
Sustainability Practices ◽  
Operational Excellence

The footwear industry has contributed notably to different countries’ economic development. Therefore, it needs to focus on operational excellence in order to achieve a sustainable level of development. Achieving sustainability in the footwear industry, however, is a complex task since various issues are involved in the footwear manufacturing process. Currently, in order to see how firms can sustain their place in the competitive global business environment, researchers and practitioners are giving special attention to operational excellence in the footwear manufacturing industry. Operational excellence is a business term that indicates the actual performance of an organization. To make the supply chain agile, resilient, and sustainable, it is imperative that firms incorporate sustainable practices in the footwear industry, and operational excellence can help in this regard. The sustainability of the footwear industry can be examined by using a set of key performance indicators (KPIs). Therefore, identifying and examining the KPIs for adopting sustainable practices in the footwear supply chain is a very important task. There is still a knowledge gap in research on the KPIs for attaining sustainability in the footwear industry. To fill in this knowledge gap, this study contributes to the existing literature by identifying and assessing the KPIs by using a novel multi-criteria decision-making (MCDM) method named the best-worst method (BWM). This study uses a previous study to identify some relevant KPIs, some of which were included in the assessment process based on footwear industry experts’ feedback. After finalizing the relevant KPIs, BWM was utilized to find the most important KPIs for adopting sustainability practices in the footwear industry’s supply chains. The findings of this study reveal that the KPIs “quality production”, “timely order processing” and “accuracy of moulding” received the first three positions in the rankings we performed. The results of this study will help practitioners, industry experts, and decision-makers to find out a pathway for easily adopting sustainability practices in the footwear supply chains.

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.

Sign in / Sign up

Export Citation Format

Share Document