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 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.

Transport Effectiveness in Distribution of Steel Products

2014 ◽  
Vol 718 ◽  
pp. 179-182
Author(s):  
Beata Ślusarczyk ◽  
Sebastian Kot
Keyword(s):  
Supply Chain ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Crucial Element ◽  
Chain Processes ◽  
High Share

Distribution is a crucial element of whole steel products supply chain processes, while transport is very important of distribution stage because it generates the high share in total costs. Authors analyze changes in steel products distribution with rising importance of steel producer distribution sites. Then researches effects on transport effectiveness in one of the largest steel distributors in Poland have been presented. Authors pay special attention on detailed key performance indicators of transport in distribution.

Shoreline Bioremediation Model (SBM) - A Graphical User Interface for Simulating the Biodegradation of Beached Oil

2014 ◽  
Vol 2014 (1) ◽  
pp. 1099-1112
Author(s):  
Jagadish Torlapati ◽  
Xiaolong Geng ◽  
Tom King ◽  
Michel Boufadel ◽  
Kenneth Lee
Keyword(s):  
Decision Making ◽  
User Interface ◽  
Numerical Model ◽  
Graphical User Interface ◽  
Biodegradation Rate ◽  
Worst Case ◽  
Oil Concentration ◽  
Oil Components ◽  
User Friendly ◽  
Friendly Graphical User Interface

ABSTRACT We developed a user-friendly numerical model, Shoreline Bioremediation Model (SBM), to simulate the biodegradation and bioremediation of oil entrapped within shorelines. The model takes oil properties and environmental conditions as input and produces variation of oil concentration with time, up to several years from the time of the spill. SBM is equipped with a user-friendly graphical user interface (GUI). The accessibility and easy-to-use interface allow the user to quickly produce several biodegradation and bioremediation scenarios before they are implemented at the contaminated shoreline. The model has been calibrated to predict the biodegradation rate of saturates and aromatics, but it can be also used to predict the biodegradation rates of individual oil components and to decide on bioremediation studies in shorelines based on the enhancement due to biostimulation (addition of nutrients) or bioaugmentation (addition of hydrocarbon degrading organisms). The GUI provides the oil concentration with time along with best case and worst case scenarios, which is commonly needed for 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). 

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