Garuda - Garba Rujukan Digital

Order Allocation Model Considering Transportation Alternatives and Lateral Transhipment Ashylla Maharani; Cucuk Nur Rosyidi; Pringgo Widyo Laksono
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in May 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Intense competition among companies encourages them to provide the best quality of products in competitive price. It is important for company to manage supply chain properly in order to achieve that. Selecting the best reliable supplier is the key to reduce purchasing cost, increase customer satisfaction and improve the competitive ability. In this study, we develop an order allocation model in multi echelon environment which includes supplier, manufacturer, and retailer. We consider transportation alternatives for the shipment from supplier to manufacturer and also the shipment from manufacturer to retailer. This model allows lateral transshipment between retailers. A Mixed Integer Linear Programming (MILP) is used to model the system. Sensitivity analysis is conducted at the end of the research. The result shows that the retailer demand, lead time, material variable price are sensitive to the objective function while the transportation costs from supplier to manufacturer, from manufacturer to retailers, and between retailers are not sensitive to the objective function. Retailer demand parameter is also sensitive to all decision variables. The transportation cost from supplier to manufacturer, material prices, and lead time are sensitive to the order allocation from manufacturer to supplier, while transportation cost from manufacturer to retailers and transportation cost between retailers are sensitive to the allocation of product sent from the manufacturer to retailers and the allocation of product sent between retailers.

A Mixed Integer Linear Programming Model of Order Allocation Involving Mass Customization Logistic Service (MCLS) Cucuk Nur Rosyidi; Nina Salsabila Sulistiani; Pringgo Widyo Laksono
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 7, No 3 (2022): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i3.15398

In an increasing business competition, a company has to improve its competitiveness by focus more on supply chain management. One of the crucial problems in supply chain deals with the allocation of orders. More and more companies are starting to adoptMass Customization Logistics Service (MCLS) mode to determine the optimal allocations of order both from suppliers and to customized logistics services at the possible lowest cost. For this purpose, a third party is needed, namely Logistic Service Integrator (LSI) in providing logistics services. However, since LSI cannot meet all customer needs, LSI chooses to outsource logistics tasks to a Functional Logistics Service Provider (FLSP). This research was developed to help decision-makers ofmanufacturing companies in making optimal decision concerning order allocations that minimize the total supply chain costs involving Mass Customization Logistics Service (MCLS).

Pembuatan Gula Kelapa/Aren Guna Peningkatan Pendapatan Bumdes Argo Manik Desa Kalipelus Kebonagung Pacitan Rahmawati Rahmawati; Siti Arifah; Edy Supriyono; Francisca Sestri Goestjahjanti; Bambang Pujiasmanto; Pringgo Widyo Laksono; Ratna Wijayanti Daniar Paramitha; Rita Noviani; Siti Nurlaela
Empowerment: Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2023): MEI 2023
Publisher : Pusat Riset Manajemen dan Publikasi Ilmiah Serta Pengembangan Sumber Daya Manusia Sinergi Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55983/empjcs.v1i3.397

This Community Service activity aims to increase the capabilities of BUMDes Argo Manik in managing coconut/aren sugar production from upstream to downstream to create innovative and productive villages, and increase greening of the environment in order to support tourism and environmental preservation. The method used is the delivery of material from resource persons who are competent in their fields related to problems that exist in the community and training according to the directions of the resource persons. The result of this activity is an increase in the quality of coconut/aren sugar products that have been produced and managed by BUMDes Argo Manik in supporting the tourism potential in Kalipelus Village which in turn can improve the economy of the Kalipelus Village community. The conclusion that can be drawn from this activity is that the role of academics is needed in order to participate in providing solutions to problems that occur in society. This activity can also be input for the formation of an academic climate in tertiary institutions, especially related to the people's economy.

Perancangan Perangkat Pembelajaran Internet of Things (IoT) dan Pengenalan Robotika Kepada Siswa Sekolah Menengah di Surakarta Sekitarnya Pringgo Widyo Laksono; Retno Wulan Damayanti; Cucuk Nur Rosyidi; Eko Pujiyanto; Wakhid Ahmad Jauhari; Anindya Rachma Dwicahyani
Jurnal Pengabdian Masyarakat dan aplikasi Teknologi (Adipati) Vol 2, No 2 (2023)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Pemahaman dan keterampilan pada siswa sekolah menengah mengenai Internet of Things (IoT) dan teknologi robotika adalah hal yang penting untuk menjawab tantangan global. Melalui pengenalan IoT dan robotika, siswa mendapatkan kesempatan untuk merancang, membangun, dan memprogram perangkat IoT dan robot secara langsung. Tujuan program ini adalah untuk memperkenalkan siswa pada konsep dan penerapan teknologi serta membantu mereka mengembangkan keterampilan yang relevan untuk dunia kerja abad ke-21. Siswa diharapkan dapat meningkatkan pemahaman mereka tentang IoT dan robotika, sehingga mereka lebih siap menghadapi tuntutan dunia kerja yang semakin berkembang di era revolusi industri 4.0. Selain itu, mitra industri yang terlibat dalam program ini, CV Enuma Technology, akan mendapatkan manfaat dalam mengembangkan produk media pembelajaran yang dapat dikomersilikilkan di pasar secara lebih luas. Melalui program ini, mitra industri dapat meningkatkan kualitas produk yang dibutuhkan oleh konsumen serta meningkatkan daya saing di pasar teknologi yang terus berkembang.

An integrated Optimization Model of Product Mix, Assortment Packing, and Distribution in A Fashion Footwear Company Cucuk Nur Rosyidi; Erina Annastya Octaviani; Pringgo Widyo Laksono
Jurnal Optimasi Sistem Industri Vol. 22 No. 2 (2023): Published in December 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v22.n2.p142-152.2023

Recognizing the paramount importance of operational effectiveness and resource management in supply chain management (SCM) of the fashion industry, this study addresses a specific challenge faced by a prominent Indonesian fashion footwear company. The inefficiency is due to repetitive sorting and packaging processes during product distribution, which significantly impact optimal production mixes and product distribution from the distribution center to the point of sale. A crucial aspect is also the optimization of the delivery route. To address these challenges and minimize the total cost of ownership, the study proposes an integrated optimization model. This model simultaneously determines the optimal production quantity, assortment packaging, and distribution channels, taking into account decision variables related to distribution in configuration boxes, overload and underload products, as well as production numbers that respond to store-specific demand fluctuations. A notable contribution of this research is the integration of product mix decisions into the assortment packaging and distribution model, which represents a novel approach. The optimal solution determined using the LINGO 18.0 software highlights the significant influence of product penalty costs and product demand parameters on the objective function, while shipping costs have no noticeable influence. By emphasizing the integration of product mix decisions into the optimization framework, this research contributes significantly to improving the understanding and practical application of efficient supply chain management in the fashion industry.

An integrated Optimization Model of Product Mix, Assortment Packing, and Distribution in A Fashion Footwear Company Cucuk Nur Rosyidi; Erina Annastya Octaviani; Pringgo Widyo Laksono
Jurnal Optimasi Sistem Industri Vol. 22 No. 2 (2023): Published in December 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v22.n2.p142-152.2023

Recognizing the paramount importance of operational effectiveness and resource management in supply chain management (SCM) of the fashion industry, this study addresses a specific challenge faced by a prominent Indonesian fashion footwear company. The inefficiency is due to repetitive sorting and packaging processes during product distribution, which significantly impact optimal production mixes and product distribution from the distribution center to the point of sale. A crucial aspect is also the optimization of the delivery route. To address these challenges and minimize the total cost of ownership, the study proposes an integrated optimization model. This model simultaneously determines the optimal production quantity, assortment packaging, and distribution channels, taking into account decision variables related to distribution in configuration boxes, overload and underload products, as well as production numbers that respond to store-specific demand fluctuations. A notable contribution of this research is the integration of product mix decisions into the assortment packaging and distribution model, which represents a novel approach. The optimal solution determined using the LINGO 18.0 software highlights the significant influence of product penalty costs and product demand parameters on the objective function, while shipping costs have no noticeable influence. By emphasizing the integration of product mix decisions into the optimization framework, this research contributes significantly to improving the understanding and practical application of efficient supply chain management in the fashion industry.

Order Allocation Model Considering Transportation Alternatives and Lateral Transhipment Ashylla Maharani; Cucuk Nur Rosyidi; Pringgo Widyo Laksono
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in April 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v21.n1.p38-45.2022

Intense competition among companies encourages them to provide the best quality of products in competitive price. It is important for company to manage supply chain properly in order to achieve that. Selecting the best reliable supplier is the key to reduce purchasing cost, increase customer satisfaction and improve the competitive ability. In this study, we develop an order allocation model in multi echelon environment which includes supplier, manufacturer, and retailer. We consider transportation alternatives for the shipment from supplier to manufacturer and also the shipment from manufacturer to retailer. This model allows lateral transshipment between retailers. A Mixed Integer Linear Programming (MILP) is used to model the system. Sensitivity analysis is conducted at the end of the research. The result shows that the retailer demand, lead time, material variable price are sensitive to the objective function while the transportation costs from supplier to manufacturer, from manufacturer to retailers, and between retailers are not sensitive to the objective function. Retailer demand parameter is also sensitive to all decision variables. The transportation cost from supplier to manufacturer, material prices, and lead time are sensitive to the order allocation from manufacturer to supplier, while transportation cost from manufacturer to retailers and transportation cost between retailers are sensitive to the allocation of product sent from the manufacturer to retailers and the allocation of product sent between retailers.

Title

Found 7 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 7 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 7 Documents
Search