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.

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). 

Synergies and conflicts between marketing and supply chain management key performance indicators

2019 ◽  
Vol 8 (1) ◽  
pp. 78
Author(s):  
Juliana Costa Dias De Moraes ◽  
Éderson Luiz Piato ◽  
Márcio Lopes Pimenta ◽  
Thiago Alves De Souza
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Chain Management

Synergies and conflicts between marketing and supply chain management key performance indicators

2019 ◽  
Vol 8 (1) ◽  
pp. 78
Author(s):  
Márcio Lopes Pimenta ◽  
Thiago Alves De Souza ◽  
Éderson Luiz Piato ◽  
Juliana Costa Dias De Moraes
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Chain Management

scholarly journals Measurement challenges of supply chain performance in complex shipping environments

2018 ◽  
Vol 3 (4) ◽  
pp. 431-448 ◽  
Author(s):  
Photis Panayides ◽  
Odd Jarl Borch ◽  
Anastasiya Henk
Keyword(s):  
Supply Chain ◽  
Performance Indicators ◽  
Oil And Gas ◽  
Service Providers ◽  
Key Performance Indicators ◽  
Operational Environment ◽  
Long Distance ◽  
Content Type ◽  
Logistics Service ◽  
Context Specific

Purpose Logistics service performance measurement (PM) is a fundamental activity pertaining to the achievement of logistics goals and the improvement of services. The choice of logistics PM criteria depends on stakeholder goals and expectations, including logistics service providers, customers and government and regulatory institutions. PM is especially challenging in areas where high values are at stake, several actors are involved and uncertainty about cause-and-effect relations is high. This paper aims to examine the measurement of performance in offshore oil and gas logistics, which has unique characteristics such as a supply chain (SC) exposed to a harsh environment, the presence of several independent carriers and a highly specialised and costly set of vessels involved in long-distance transport legs. Design/methodology/approach The study is designed as a multiple case study of two Norwegian shipping companies and two international oil and gas companies. Data were collected from several parts of the offshore service SC in several Arctic oil and gas fields. Findings This paper sheds light on the performance of the SC and presents key performance indicators for logistics operations. It concludes that the measurement of SC performance must be context-specific and emphasis needs to be placed on the degree of uncertainty and inter-dependency related to the SC in question. Originality/value The study suggests a list of context-specific key performance indicators for offshore logistics with a special emphasis on the peculiarities of a harsh operational environment.

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.

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