Panel Supply Chain Collaboration Using a Web-Based Decision Support System to Improve Product Quality and On-Time Delivery

2014 ◽  
Vol 10 (2) ◽  
pp. 40-54
Author(s):  
Ping-Yu Chang
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Information Exchange ◽  
Rapid Change ◽  
Improve Product Quality ◽  
Supply Chain Collaboration ◽  
Web Based ◽  
On Time Delivery

To address rapid change in the environment, enterprises increase their competitiveness through supply chain collaboration to efficiently allocate resources. However, supply chain collaboration usually fails because information is usually confidential, and many resources have to be devoted to leverage different business ideas and information systems. Although many studies have discussed strategies of supply chain collaboration, only a few of the strategies can be implemented in practice. Therefore, this research builds an information exchange platform to permit production and inventory information to be shared and analyzed online to ensure on-time delivery. This platform is implemented in a panel manufacturing company to establish the usefulness of the strategies and the constructed system. After implementing the system, on-time delivery increases 10% and quality increases more than 2%. This result demonstrates the usefulness of the proposed system in practice and strengthens the value of this research.

A Web-Based System for Supply Chain Collaboration to Enhance Agility and Flexibility

2019 ◽  
pp. 108-123 ◽  
Author(s):  
Ping-Yu Chang
Keyword(s):  
Quality Assurance ◽  
Supply Chain ◽  
Quality Improvement ◽  
Information Exchange ◽  
The Internet ◽  
Supply Chain Collaboration ◽  
Web Based ◽  
On Time Delivery ◽  
Web Based System ◽  
Share Information

Recently, enterprises have increased their competitiveness through supply chain collaboration to efficiently allocate resources using the internet. However, supply chain collaboration usually fails because information is usually confidential. Many studies have discussed strategies of supply chain collaboration via internet but only a few of the strategies can be implemented in practice. Therefore, this research builds an information exchange platform to share production and inventory information over internet to ensure on-time delivery. This platform is implemented in a panel manufacturing company and 10% on-time delivery increase with 2% quality improvement after adapting this system. This result demonstrates the usefulness of using online platform to immediately share information will improve one-time delivery and quality assurance.

Perancangan Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Pada Bravo Supermarket Jombang

2016 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Fatikhatus Sholikhah ◽  
Diema Hernyka Satyareni ◽  
Chandra Sukma Anugerah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Customer Loyalty ◽  
Design Decision ◽  
Web Based ◽  
Business World ◽  
Election System ◽  
Simple Additive Weighting ◽  
The Town

Abstrak Persaingan merupakan hal yang biasa terjadi terutama dalam dunia bisnis, tidak terkecuali yang telah dialami oleh Bravo Supermarket Jombang. Bravo bukanlah satu-satunya supermarket di kota Jombang, sehingga Bravo harus bersaing dengan para kompetitornya agar Bravo bisa bersaing dan tetap produktif. Salah satu cara yang dapat digunakan dalam meningkatkan penjualan dan loyalitas pelanggan adalah dengan memberikan reward kepada para pelanggan terbaik. Oleh karena itu perlu dibuatlah sebuah perancangan sistem pendukung keputusan dalam pemilihan pelanggan terbaik pada Bravo. Dalam perancangan sistem yang dibuat nantinya berbasis web dengan metode SAW(Simple Additive Weighting)sebagai proses perhitungan pemilihan pelanggan terbaik. Hasil dari perancangan sistem pemilihan pelanggan terbaik pada Bravo Supermarket Jombang diharapkan dapat membantu pihak manajemen Bravo dalam pemilihan pelanggan terbaik yang akan menerima reward dan akhirnya akan mampu meningkatkan loyalitas pelanggan dan profit Bravo. Kata kunci: Bravo, sistem pendukung keputusan, pelanggan, SAW. Abstract Competition is a common thing, especially in the business world, is no exception has been experienced by Bravo Supermarket Jombang. Bravo is not the only supermarket in the town of Jombang, so that Bravo had to compete with its competitors in order Bravo to compete and remain productive. One way that can be used to increase sales and customer loyalty is to give rewards to the best customers. Therefore, it needs to be made to a design decision support system in the selection of the best customers on Bravo. In designing the system made later on a web-based method of SAW (Simple Additive weighting) as the process of calculating the best customer selection. The results of the election system design best customers at Bravo Supermarket Jombang expected to assist management in selecting the best customer Bravo who will receive rewards and will eventually be able to increase customer loyalty and profit Bravo. Key word: Bravo, decision support system, customers, SAW.

IMPLEMENTASI TEOREMA NAÏVE BAYES PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN REKOMENDASI TEMPAT WISATA TERBAIK DISULAWESI SELATAN

2019 ◽  
Vol 2 (1) ◽  
pp. 40-46
Author(s):  
Rikardo Chandra ◽  
Izmy alwiah Musdar ◽  
Junaedy .
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Web Based ◽  
Tourist Attractions ◽  
South Sulawesi

This study aims to design and build web-based decision support system applications used to recommend the best tourist attractions in South Sulawesi to tourists. The expected benefit of this research is to help the user get the best tourist recommendation information available in South Sulawesi based on the conditions in input factors. The theorem or method used in this study, namely the theorem Naïve Bayes. The design of the system isimplemented using PHP programming language and MYSQL database. Based on the results of the research, the authors have successfully built the application of decision support system to determine the recommendation of tourist attractions in South Sulawesi with 65% accuracy based on 20 tests conducted.

A reliable decision support system for fresh food supply chain management

2017 ◽  
Vol 56 (4) ◽  
pp. 1458-1485 ◽  
Author(s):  
Gabriella Dellino ◽  
Teresa Laudadio ◽  
Renato Mari ◽  
Nicola Mastronardi ◽  
Carlo Meloni
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Decision Support System ◽  
Support System ◽  
Food Supply ◽  
Food Supply Chain ◽  
Chain Management ◽  
Fresh Food
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