Penentuan Lokasi Fasilitas Gudang dengan Metode Gravity Location Models

Untuk kelancaran pemasaran dan distribusi hasil produksi, perencanaan rantai pasok perlu diperhatikan dengan seksama oleh perusahaan. Salah satu yang perlu diperhatikan adalah penentuan lokasi fasilitas yang strategis agar dapat bersaing dan memaksimalkan keuntungan rantai pasoknya. Sebagai perusahaan yang memasok kebutuhan sambungan pipa air minum seluruh PDAM di Indonesia, saat ini gudang yang dimiliki oleh PT. Aneka Adhilogam Karya hanya satu. Padahal tingkat produksi perusahaan ini semakin meningkat dari waktu ke waktu. Maka perusahaan perlu menambah Gudang agar dapat menampung hasil produksi. Metode yang digunakan adalah Metode Gravity Location. Hasil penelitian menunjukkan bahwa lokasi gudang optimal di daerah Pringgokusuman, Gedong Tengen, Kota Yogyakarta, DI Yogyakarta, dengan total cost paling minimum Rp2.429.75

A systematic review on multi-criteria group decision-making methods based on weights: analysis and classification scheme

Interest in group decision-making (GDM) has been increasing prominently over the last decade. Access to global databases, sophisticated sensors which can obtain multiple inputs or complex problems requiring opinions from several experts have driven interest in data aggregation. Consequently, the field has been widely studied from several viewpoints and multiple approaches have been proposed. Nevertheless, there is a lack of general framework. Moreover, this problem is exacerbated in the case of experts’ weighting methods, one of the most widely-used techniques to deal with multiple source aggregation. This lack of general classification scheme, or a guide to assist expert knowledge, leads to ambiguity or misreading for readers, who may be overwhelmed by the large amount of unclassified information currently available. To invert this situation, a general GDM framework is presented which divides and classifies all data aggregation techniques, focusing on and expanding the classification of experts’ weighting methods in terms of analysis type by carrying out an in-depth literature review. Results are not only classified but analysed and discussed regarding multiple characteristics, such as MCDMs in which they are applied, type of data used, ideal solutions considered or when they are applied. Furthermore, general requirements supplement this analysis such as initial influence, or component division considerations. As a result, this paper provides not only a general classification scheme and a detailed analysis of experts’ weighting methods but also a road map for researchers working on GDM topics or a guide for experts who use these methods. Furthermore, six significant contributions for future research pathways are provided in the conclusions.The first author acknowledges support from the Spanish Ministry of Universities [grant number FPU18/01471]. The second and third author wish to recognize their support from the Serra Hunter program. Finally, this work was supported by the Catalan agency AGAUR through its research group support program (2017SGR00227). This research is part of the R&D project IAQ4EDU, reference no. PID2020-117366RB-I00, funded by MCIN/AEI/10.13039/ 501100011033.Peer ReviewedPostprint (published version