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All Journal Journal of Engineering and Technological Sciences Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri International Journal of Supply Chain Management Journal of Robotics and Control (JRC) Journal of Research in Industrial Engineering and Management
Andi Cakravastia
Fakultas Teknologi Industri, Program Studi Teknik Industri, Institut Teknologi Bandung
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Transportation Other

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A Buffer Stock Model to Ensure Price Stabilization and Availability of Seasonal Staple Foods under Free Trade Considerations Bahagia, Senator Nur; Cakravastia, Andi; Arisamadhi, T.M.A.; Sutopo, Wahyudi
Journal of Engineering and Technological Sciences Vol 44, No 2 (2012)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.774 KB) | DOI: 10.5614/itbj.eng.sci.2012.44.2.3

Abstract

Price  volatility  and  scarcity  have  become  a  great  problem  in  the distribution  system  of  seasonal  staple  foods  produced  by  the  agricultural industry.  There  is  a  salient  supply  disparity  during  the  harvest  and  planting seasons.  This  condition  could  cause  disadvantages  to  stakeholders  such  as producers,  wholesalers,  consumers,  and  government.  This  paper  proposes  a buffer  stock  model  under  free-trade  considerations  to  substitute  quantitative restrictions  and  tariffs  with  an  indirect  market  intervention   instrument.  This instrument  was  developed  using  a  buffer  stock  scheme  in  accordance  with  a  warehouse receipt system  (WRS) and  a  collateral management system.  A  public service  institution  for  staple  food  buffer  stock   (BLUPP)  is  proposed  as  the wholesaler’s competitor,  with  as main responsibility   to ensure price stabilization and availability of staple food. Multi-criteria decision-making is formulated as a single  objective  mixed  integer  non-linear  programming  (MINLP)  model.  The results  shows  that  the  proposed  model  can  be  applied  to  solve  the  distribution problem  and  can  give  more  promising  outcomes  than  its  counterpart,  direct market intervention.
A Buffer Stock Model to Ensure Price Stabilization and Availability of Seasonal Staple Foods under Free Trade Considerations Wahyudi Sutopo; Senator Nur Bahagia; Andi Cakravastia; T.M.A. Arisamadhi
Journal of Engineering and Technological Sciences Vol. 44 No. 2 (2012)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.eng.sci.2012.44.2.3

Abstract

Price  volatility  and  scarcity  have  become  a  great  problem  in  the distribution  system  of  seasonal  staple  foods  produced  by  the  agricultural industry.  There  is  a  salient  supply  disparity  during  the  harvest  and  planting seasons.  This  condition  could  cause  disadvantages  to  stakeholders  such  as producers,  wholesalers,  consumers,  and  government.  This  paper  proposes  a buffer  stock  model  under  free-trade  considerations  to  substitute  quantitative restrictions  and  tariffs  with  an  indirect  market  intervention   instrument.  This instrument  was  developed  using  a  buffer  stock  scheme  in  accordance  with  a  warehouse receipt system  (WRS) and  a  collateral management system.  A  public service  institution  for  staple  food  buffer  stock   (BLUPP)  is  proposed  as  the wholesaler's competitor,  with  as main responsibility   to ensure price stabilization and availability of staple food. Multi-criteria decision-making is formulated as a single  objective  mixed  integer  non-linear  programming  (MINLP)  model.  The results  shows  that  the  proposed  model  can  be  applied  to  solve  the  distribution problem  and  can  give  more  promising  outcomes  than  its  counterpart,  direct market intervention.
MODEL PENENTUAN UKURAN LOT PRODUKSI DENGAN POLA PERMINTAAN BERFLUKTUASI Docki Saraswati; Andi Cakravastia; Bermawi P. Iskandar; A. Hakim Halim
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 11 No. 2 (2009): DECEMBER 2009
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (171.142 KB) | DOI: 10.9744/jti.11.2.122-133

Abstract

The purpose of this paper is to examine the impact of varying demand on the production lot size and the schedule of delivery in the integrated inventory system. This system is consisted of a single manufacturer as the supplier and a single buyer. Mostly, the problems on the economic lot size model are assumed that demand is continuous with time. Actually, demand occurs are varying in time rather than continuously over the planning time horizon. In this case, the buyer has decided the amount of order for each period is varied, because of the changing market environment. The integrated inventory system model between a supplier and a buyer are developed and implemented under the condition with varied demand. Forward dynamic programming is implemented for searching the solution. The objective is to minimize the total cost, associated with a single product for a deterministic varying demand. Two conditions are examined here, i.e., the integrated model with uncapacitated and capacitated production system. The difference between these two models is in the constraints formulation. The capacity constraints will give higher total cost, especially if the setup cost higher than the holding cost. A numerical example is presented to illustrate the implementation of the solution algorithm. Abstract in Bahasa Indonesia: Pada makalah ini diteliti pengaruh permintaan yang berfluktuasi terhadap penentuan ukuran lot produksi dan jadwal pengiriman pada sistem persediaan terintegrasi, dengan total ongkos persediaan melibatkan sistem persediaan pemanufaktur dan pembeli secara bersama. Sistem terdiri atas pemanufaktur tunggal dan pembeli tunggal untuk pemesanan satu jenis produk.Umumnya permasalahan penentuan ukuran lot produksi memiliki asumsi bahwa permintaan bersifat kontinu terhadap waktu. Penentuan ukuran lot pada model integrasi sistem persediaan antara pemanufaktur dan pembeli dengan kondisi permintaan berfluktuatif bertujuan meminimasi total ongkos. Pencarian solusi penentuan ukuran lot produksi dengan permintaan berfluktuatif mempergunakan pendekatan forward dynamic programming. Adapun model integrasi yang dikemukakan mempertimbangkan dua kondisi, yaitu kondisi kapasitas produksi tidak terbatas dan kapasitas produksi terbatas. Perbedaan formulasi terletak pada kondisi pembatas yang digunakan. Hasil pengamatan menunjukkan bahwa apabila ongkos setup jauh lebih tinggi dari pada ongkos simpan, maka kondisi dengan mempertimbangkan kapasitas akan menghasilkan total ongkos yang lebih tinggi. Suatu contoh numerik diberikan sebagai ilustrasi dari algoritma yang diusulkan. Kata kunci: ukuran lot produksi, fluktuasi permintaan, jadwal pengiriman, integrasi pemanufaktur-pembeli, programa dinamis.
Multi-items Batch Scheduling Model for a Batch Processor to Minimize Total Actual Flow Time of Parts through the Shop Nita P.A Hidayat; Andi Cakravastia; T.M.A Ari Samadhi; Abdul Hakim Halim
Jurnal Teknik Industri Vol. 20 No. 1 (2018): June 2018
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1685.346 KB) | DOI: 10.9744/jti.20.1.73-88

Abstract

This study is inspired by a batch scheduling problem in metal working industry which guarantees to satisfy a due date as a commitment to customers. Actual flowtime adopts the backward scheduling approach and considers the due date. Using the actual flowtime as the objective means that the solution  is oriented to satisfy the due date, and simultaneosly to minimize the length of time of the parts spending in the shop. This research is to address a problem of scheduling batches consisting of multiple items of parts processed on a batch processor where the completed parts must be delivered several time at different due dates. We propose an algorithm to solve the problem.
An Integrated Model for Lot Sizing with Supplier Selection Considering Quantity Discounts, Expiry Dates, and Budget Availability Teguh Ersada Natail Sitepu; Andi Cakravastia
International Journal of Supply Chain Management Vol 8, No 3 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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

Abstract

In this paper, a dynamic multi-product multi-period lot sizing with supplier selection problem (DLSSP) with quantity discount, expiry dates, and budget availability is presented. Demand of products for each period are independent and known. The cost consists of ordering, purchasing, transportation, expiry, holding, and interest charge. The objective is to find the optimal order quantity of all items in each period to minimize inventory cost. A mixed integer nonlinear model programming (MINLP) is first developed to model the problem. Since model is hard to solve using exact method, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) is applied, in which design parameters are set using Taguchi method. Computational results demonstrate the applicability of the proposed model and comparing the results show efficiency of both algorithms as well. The results show that, while both algorithms have statistically similar performances, GA is the better algorithm in all problems.
Rancangan Kriteria Sustainability untuk Evaluasi Strategic Supplier di Industri Otomotif X dengan Metode QFD Putri Mety Zalynda; Rajesri Govindaraju; Andi Cakravastia; Kadarsah Suryadi; Bram Andryanto
Journal of Research in Industrial Engineering and Management Vol 1 No 1 (2023): May 2023
Publisher : Program Studi Teknik Industri, Fakultas Teknologi Industri, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61221/jriem.v1i1.7

Abstract

The strategic supplier evaluation process is a decision-making problem that has many criteria and objectives related to both qualitative and quantitative factors. In the strategic supplier evaluation process, the Quality Function Deployment (QFD) method can translate issues of critical stakeholder needs, starting from conceptual needs into several strategic supplier evaluation criteria that can be used as a reference. One of the most important pieces of information is that by using the QFD method, the weight of the evaluation criteria is derived from the ranking of the importance of stakeholder needs together with the weight of the relationship between stakeholder requirements and evaluation criteria. According to the results of the literature study, most previous studies used economic criteria with a single stakeholder. This research will use sustainability criteria with multi-stakeholders. This research will design the selection of sustainability criteria for evaluating strategic suppliers for the PT X automotive industry in Indonesia using the QFD method. The results of the second House of Quality (HOQ) from QFD, are twenty sustainability criteria for evaluating strategic suppliers for the automotive industry.
A Model of Proactive-Reactive Job Shop Scheduling to Tackle Uncertain Events with Greedy Randomized Adaptive Search Procedure Nisar, Muhammad Usman; Ma'ruf, Anas; Cakravastia, Andi; Halim, Abdul Hakim
Journal of Robotics and Control (JRC) Vol 5, No 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.22208

Abstract

Despite substantial research on job shop scheduling (JSS), there is a gap owing to the lack of a unified framework that considers exact, heuristic, and metaheuristic methods for JSS. This study addressed this gap by presenting a comprehensive approach. The study offered following contributions in this regard: analyzed the exact optimization method for benchmarking, investigated a greedy algorithm (G_r A) for faster solutions, and implemented a novel Greedy Randomized Adaptive Search Procedure (GRASP) to achieve high-quality solutions with computational effectiveness. Additionally, this study considered serious dynamic events (SDE) such as new job arrivals (NJA), rush order (RO), machine failures (MF), and scheduled machine maintenance (SMM), as scheduling disruptions and proposed a proactive-reactive rescheduling strategy, with right-shift (RF) and regeneration (Reg) methods using a hybrid (periodic and event-driven) policy to tackle them. Results showed that the exact methods are optimal but computationally intensive, G_r A are faster but suboptimal, and GRASP strike a balance, delivering high-quality solutions with only a 3.43% gap from exact methods while maintaining computational efficiency. Additionally, RF method effectively handled MF, while Reg efficiently integrated NJA, RO, and SMM. Overall, this study offered a comprehensive approach to JSS, enhancing applicability in manufacturing environments.
Evaluasi Risiko yang Harus Dihadapi Vendor dalam Memenuhi Kebutuhan Permintaan Produk Perishable Bencana Gunung Api Menggunakan Simulasi Monte Carlo Prasetyo, Ikhsan; Cakravastia, Andi
Journal of Research in Industrial Engineering and Management Vol 2 No 2 (2024): November 2024
Publisher : Program Studi Teknik Industri, Fakultas Teknologi Industri, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61221/jriem.v2i2.42

Abstract

As a nation situated within the Pacific Ring of Fire, Indonesia is home to numerous volcanoes. Of the many active volcanoes present, approximately 40% are inadequately monitored. This situation positions Indonesia as one of the countries facing a significant threat from volcanic disasters. One of the critical challenges in disaster management lies in the logistics of disaster relief, particularly in managing perishable food supplies to meet the needs of affected victims. The handling of such logistical items must ensure that no expired products are utilized. One approach to addressing this challenge is to delegate management authority to third parties, specifically vendors who also handle daily demands. This strategy is intended to allow perishable products to be managed through rotation to fulfill all requests while vendors maintain vigilant oversight of existing inventory levels in warehouses. This research aims to evaluate the risks that a vendor must confront when implementing such a collaborative arrangement. The evaluation is conducted using Monte Carlo simulation to determine the optimal scenario that vendors can select. Analysis results indicate that the implementation of Scenario 2, which assumes that a disaster may occur once throughout the planning period, represents the most favorable scenario for vendors. The study underscores the importance of proactive disaster preparedness and efficient resource management in a country prone to volcanic activity. By exploring innovative approaches to logistics and inventory control, stakeholders can enhance their capacity to respond effectively to potential disasters, ultimately contributing to improved disaster resilience in Indonesia.
A Model of Proactive-Reactive Job Shop Scheduling to Tackle Uncertain Events with Greedy Randomized Adaptive Search Procedure Nisar, Muhammad Usman; Ma'ruf, Anas; Cakravastia, Andi; Halim, Abdul Hakim
Journal of Robotics and Control (JRC) Vol. 5 No. 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.22208

Abstract

Despite substantial research on job shop scheduling (JSS), there is a gap owing to the lack of a unified framework that considers exact, heuristic, and metaheuristic methods for JSS. This study addressed this gap by presenting a comprehensive approach. The study offered following contributions in this regard: analyzed the exact optimization method for benchmarking, investigated a greedy algorithm (G_r A) for faster solutions, and implemented a novel Greedy Randomized Adaptive Search Procedure (GRASP) to achieve high-quality solutions with computational effectiveness. Additionally, this study considered serious dynamic events (SDE) such as new job arrivals (NJA), rush order (RO), machine failures (MF), and scheduled machine maintenance (SMM), as scheduling disruptions and proposed a proactive-reactive rescheduling strategy, with right-shift (RF) and regeneration (Reg) methods using a hybrid (periodic and event-driven) policy to tackle them. Results showed that the exact methods are optimal but computationally intensive, G_r A are faster but suboptimal, and GRASP strike a balance, delivering high-quality solutions with only a 3.43% gap from exact methods while maintaining computational efficiency. Additionally, RF method effectively handled MF, while Reg efficiently integrated NJA, RO, and SMM. Overall, this study offered a comprehensive approach to JSS, enhancing applicability in manufacturing environments.
Integrated Optimization of Heterogeneous Fleet Deployment, Sailing Speed, and Bunkering Strategy Considering Adaptive Safety Stock Muhammad Syolahudin Abdurrahman; Tresnaningati Sekar Pramesta; Lailatul Rohmah; Suprayogi; Andi Cakravastia; Rully Tri Cahyono
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 28 No. 1 (2026): June 2026
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.28.1.59-75

Abstract

Logistics cost inefficiencies often stem from fragmented operational policies. Volatile global fuel prices and unpredictable maritime schedules further complicate matters. Traditional isolated optimization methods frequently fail to ensure supply chain resilience. This study addresses these limitations by developing a Mixed-Integer Linear Programming (MILP) model. The model simultaneously integrates three core strategic decisions: heterogeneous fleet deployment, sailing speed optimization, and bunkering strategy. Inventory thresholds are dynamically adjusted based on real-time sailing conditions and port-to-port consumption rates, moving beyond static buffer assumptions. This model incorporates an adaptive stock mechanism to mitigate energy supply uncertainties at transit ports while minimizing total costs, which diverges from conventional approaches. The mathematical formulation is designed to minimize total operating expenses while accounting for technical constraints, such as fixed time windows and fluctuating cargo capacities. Optimization results show that integrating these variables effectively reduces cost inefficiencies. Quantitatively, the Proposed Scenario reduced Total Cost by 18.89%, saving USD 191,555 per service cycle compared to the Existing Scenario. The integrated approach uncovers a significant trade-off between speed reduction and inventory holding costs, identifying a more balanced operational equilibrium than previous models. The findings demonstrate that applying adaptive safety stock enhances the robustness of the bunkering strategy by aligning minimum inventory levels with fuel consumption across segments between bunkering ports. This study contributes to maritime management theory by synchronizing adaptive fuel inventory management with vessel deployment and speed optimization. There are practical implications for designing more resilient and cost-effective shipping strategies. Finally, this framework serves as a precursor tool for shipping liners to maintain service reliability while navigating the complexities of modern maritime logistics.
Co-Authors A. Hakim Halim A. Hakim Halim Abdul Hakim Halim Abdul Hakim Halim Bermawi P. Iskandar Bermawi P. Iskandar Bram Andryanto Docki Saraswati Docki Saraswati Hidayat, Nita P.A Kadarsah Suryadi Lailatul Rohmah Ma'ruf, Anas Muhammad Syolahudin Abdurrahman Nisar, Muhammad Usman Nita P.A Hidayat Prasetyo, Ikhsan Putri Mety Zalynda Rajesri Govindaraju Rully Tri Cahyono Senator Nur Bahagia Senator Nur Bahagia Suprayogi T.M.A Ari Samadhi T.M.A Ari Samadhi, T.M.A Ari T.M.A. Arisamadhi T.M.A. Arisamadhi Teguh Ersada Natail Sitepu Tresnaningati Sekar Pramesta Wahyudi Sutopo Wahyudi Sutopo