1,720,962 research outputs found
Measuring performance of reverse supply chains in a carpet manufacturer
Full text linkIncreasing attention has been given to the reverse supply chain because of the increasing value of products and technology at the end of direct supply chains as well as the impact of new green legislation. Design strategies for reverse supply chains have remained relatively unexplored and underdeveloped. Meanwhile measuring supply chain performance has also become important as understanding, collaboration and integration has increased between supply chain members. It has also helped companies to target profitable market segments or identify areas for service improvement. This paper will focus on measuring performance of reverse supply chains in carpet manufacturers. A simple general framework of the company is presented as well as mathematical models. This simple general model can be to be applied by small medium enterprises to optimise their reverse supply chain systems
Measuring performance of reverse supply chains in a carpet manufacturer
No full textIncreasing attention has been given to the reverse supply chain becauseof the increasing value of products and technology at the end of direct supply chains as well as the impact of new green legislation. Design strategiesfor reverse supply chains have remained relatively unexplored and underdeveloped. Meanwhile measuring supply chain performance has also become important as understanding, collaboration and integration has increased between supply chain members. It has also helped companies to target profitable market segments or identify areas for service improvement. This paper will focus on measuring performance of reverse supply chains in carpet manufacturers. A simple general framework of the company is presented as well as mathematical models. This simple general model can be to be applied by small medium enterprises to optimise their reverse supply chain systems
Performance of reverse supply chains
Full text linkGlobalised trade and pressure on resources require supply chains to become more sustainable, which includes the need for material flows to become closed loops. Reverse Supply Chains (RSC) recover parts and products from end customers or any other stage of the supply chain and feeds them back into the supply network for reuse, remanufacturing, recycling or proper disposal. In thisway, RSCs contribute to manufacturing becoming more sustainable ecologically, economically and socially. However, most companies are unaware of their RSC and therefore miss out on beneficial opportunities. This paper explores the current situation in industry and refers to relevant literature. A first version of an RSC framework is suggested, together with examples and discussion
PENGGUNAAN SIMULASI UNTUK PEMECAHAN MASALAH TRANSPORTASI
No full textSecara umum sebagian besar masalah transportasi darat yang sering terjadi adalah, kemacetan lalu lintas, trayek-trayek yang tumpang tindih, volume pelayanan tidak sesuai dengan jumlah penumpang serta efisiensi yang rendah. Dengan melakukan simulasi melalui komputer untuk masalah transportasi tersebut, yakni dengan parameter jumlah antrian, menentukan waktu keberangkatan bus (headway) pada shelter keberangkatan, dapat ditentukan jumlah armada bus yang optimal untuk suatu trayek tertentu, dapat ditentukan penjadwalan bus dan sebagainya. Makalah ini mendeskripsikan usaha penentuan jumlah bus yang optimal pada perencanaan busway kota Yogyakarta. Pada model awal yaitu sistem dengan jadwal keberangkatan bus pada menit ke-0, ke-5, ke-10, ke-25 dan seterusnya, diperlukan 18 bus yang memiliki kapasitas penumpang perhari 15.352. Model alternatif 1 dengan jadwal keberangkatan bus setiap 5 menit berkapasitas 21.812 penumpang per hari. Pada model alternatif 2 dengan jadwal keberangkatan bus pada menit ke-0, ke-5, ke-10, ke-18 dan seterusnya, kapasitas penumpang perhari 20.140. Sedangkan pada model alternatif 3 dengan jadwal keberangkatan bus setiap 3 menit, kapasitas penumpang perhari mencapai 31.996
Supply Chain Simulation for Determining Quantity of Delivery Bach
No full textSupply chain planning problems encompass industrial production process design and improvement,
inventory control policy, transportation management, supply procurement, and demand planning. The
supply chain is due to a realization by most companies that maximizing performance of one department
or function may lead to less than optimal performance for the whole company. In order to achieve high
performance, supply chain functions must operate in an integrated and coordinated manner. As the modern
high technology manufacturing systems can be extremely complex due to factors such as: multiple
part types made in the same facility/line, numerous manufacturing, batch processing, multiple levels of
subassemblies, just to name a few. The uncertainties in the supply chain network make manufacturing
enterprises inefficient. The supply chain management should be concerned with the reduction or even
elimination of uncertainties. Simulation is a practical methodology for understanding the high-level dynamics
of a complex manufacturing system
Improving green computing in business intelligence by measuring performance of reverse supply chains
Full text linkIncreasing attention has been given to greencomputing in Business Intelligence. This paper specificallyconsiders the measurement of performance in the reversesupply chain. That is because of the increasing value ofproducts and technology at the end of general direct supplychains as well as the impact of new green legislation. Unlikeforward supply chains, design strategies for reverse supplychains are relatively unexplored and underdeveloped.Meanwhile measuring supply chain performance is becomingimportant as the need for data in business intelligence systemsincreases and the understanding, collaboration and integrationincreases between supply chain members. It also helpscompanies to target the most profitable market segments oridentify a suitable service definition. This paper describes asynthesis of known theory concerning measuring performanceand assesses the state of the art. Strengths and gaps areidentified. Some initial results are presented for measuringsupply performance in reverse supply chains (using robustmethods) and are outlined future research needs
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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