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Journal : IPTEK Journal of Proceedings Series

Mixed Integer Linear Programming as a Method for Evaluation of Location and Number of Buffer Warehouse in PT Petrokimia Gresik Distribution System (Case Study: West Java and Central Java) Iwan Febrianto; Nurhadi Siswanto
IPTEK Journal of Proceedings Series No 3 (2020): International Conference on Management of Technology, Innovation, and Project (MOTIP) 2
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i3.11133

Abstract

The new policy issued by PT Pupuk Indonesia regarding the change of the responsible party for the procurement and the distribution of subsidized NPK fertilizers affected the subsidy allocation for PT Petrokimia Gresik, as the only company to conduct the procurement and distribution of the subsidized NPK fertilizer. It is now partially charged to the other holding members such as PT Kujang Cikampek, PT Pupuk Sriwidjaja, and PT Pupuk Kaltim. Also, all members of PT Pupuk Indonesia should face the reduction of subsidy allocation from Indonesia Government. PT Petrokimia Gresik also have to deal with Phonska V project plan in order to increase capacity of NPK fertilizer. Those policies are most significantlty impactful to the decrease of subsidy allocation in West Java. Besides, Central Java, a branch area of PT Petrokimia Gresik which has the biggest number of total capacity and fixed cost, should reevaluate the number and location of the buffer warehouse. This paper is aimed to explain the methodology using Mixed integer Linear Programming (MILP) in determining the optimal number and location of buffer warehouse in West Java and Central Java in response to the policies and the project plan. Firstly, the distribution system of NPK subsidized fertilizer are described. Next, previous researches about MILP and forecasting method applied in distribution system problem is explained. After that, related data and several conditions that are applied based on actual situation are shown. It can be deducted that MILP is an optimal method for the evaluation as it fits to the characteristic and condition of distribution system in PT Petrokimia Gresik.
Integrated Modelling of In-Bag Fertilizer Handling Process and Forklift Needs to Reduce Waste in Sales Warehouses of PT Petrokimia Gresik Bachtiar Rosihan Aghda; Nurhadi Siswanto
IPTEK Journal of Proceedings Series No 3 (2020): International Conference on Management of Technology, Innovation, and Project (MOTIP) 2
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i3.11110

Abstract

PT. Petrokimia Gresik is one of the most outstanding fertilizer manufacturers with 5 sales warehouses. The Company organizes its distribution system to ensure adequate distribution to the right target. To plan the process of handling in-bag fertilizer, resources such as contract workers, forklifts, and trucks are needed. However, there are numerous wastes associated with the handling process, which is shown by forklift idle time due to the bagging, handling, and loading processes. Therefore, this research identifies the waste that occurs using the Value Stream Mapping (VSM) method with the 5 why’s tool. This research also uses simulation to analyze and validate the recommendations. Data obtained through questionnaires showed that waste occurs due to waiting time by 28.2% and unnecessary motion by 22.7%. The described Process Activity Mapping (PAM) tools show that fertilizer delivery has cycle times of 9030 seconds, with value-added activities of 66%. The analysis of 5 why’s tools shows that the low handling speed causes waste at the bagging and loading processes and the unnecessary motion of forklift-3. The recommendations according to the future state Value Stream Mapping (VSM) are adding the contract worker in the bagging process, removing forklift-3, and adding the contract worker in the loading process. Therefore, the value-added activity increases to 75.8% and accelerates the delivery cycle time to 7733 seconds. The validation results using the simulation shows that forklift-3 can be eliminated because it has a low utilization value of 16.4%, merging the activity of sewing services of 3% with a decrease in transfer time from 7.9 hours to 2.9 hours for one delivery cycle. In conclusion, the removal of all forklift-3 in 5 sales warehouse results shows that the company can save rental costs by Rp.4,772,376,000/year.
SP Gas Well Development Strategy at Offshore B Flowstation Using Analytical Hierarchy Process Septian Cahya; Nurhadi Siswanto
IPTEK Journal of Proceedings Series No 6 (2020): 6th International Seminar on Science and Technology 2020 (ISST 2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i6.11143

Abstract

This research is focused on analyzing strategies for developing SP well production in the B Flowstation offshore platform. The development in question is the construction of platforms and SP gas well production facilities based on the application of the SP gas well production operation mode to the existing Bravo Flowstation production system. The application of the SP well production operation mode will determine the design of the production facility and the amount of investment the company has to operate the SP well. The mode of production operation also affects the continuity and stability of SP gas well production in meeting the company's production targets. Based on seismic results and studies from the company that wells have capacity of 53.5 BCF with a gas production rate of 30 MMSCFD and is capable of producing for 6 years. Incorrect application of operating modes has the potential to cause premature production, which means that production from the well cannot last for 6 years. That is because the occurrence of water coning which has an impact on gas production is hindered by the rate of water production. In addition, the application of the operation mode also affects the continuity of gas well production. Gas production activities may be halted due to production shutdowns due to a mismatch of the SP well production line technology design that is applied to an existing production system. The cessation of SP well gas production activities can also be caused by operational activities such as maintenance activities. From the potential problems that arise, a qualitative analysis is needed by considering every aspect of the problem. With the complexity of things that must be considered in the production development strategy used the AHP (Analytic Hierarchy Process) method. 4 alternative choices of SP well operation modes are determined by the expert. The alternatives include: high pressure mode; low pressure mode; medium pressure mode; and combine high low pressure mode. Criteria identified by the expert include: technology; capital costs; the impact of existing production; operating costs; decline reservoir. From the data obtained in the field as a reference for experts to determine the weighting in the AHP method, the dominant alternative is the development of SP wells based on the combining high low pressure operation mode. The high low pressure operating mode provides continuous production without being affected by existing production processes and has the potential for a medium for water coning. With a sizeable investment the SP well development strategy can be on target in production and on return on investment.
Solving Course Timetable Problem by using Integer Linear Programming (Case Study IE Department of ITS) Fakher Shwan Rafeek; Nurhadi Siswanto
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.898 KB) | DOI: 10.12962/j23546026.y2015i1.1080

Abstract

Making IE department of ITS course timetable by determine the hard and soft constraints then develop an integer programming (ILP) model method to solve this NP-complete problem of Timetabling for solving Hard constraints Assignment problem and to solve the Soft constraints use Penalty Algorithm. Use LINGO software for solving suggested mathematical model to get the final results. Then do numerical analyzes for that results. Finally it achieves the goal for solving the Course Timetable. And get feasible solution of timetable as well as it gets the best required objective what it can get from the case study which is 356 events and it reduces the time of getting one timetable to be just one hour after it was at least 2 weeks.
Co-Authors -, Elisabeth Adhi Iswantoro Adianto, Asyraf Nur Agoes Santoso Aguk Zuhdi Muchamad Fathallah Ahmad Rusdiansyah Alfa Muhammad Megawan Ali Reza, Muhammad Andi Irma Arianty Aris Setya Yuwana Asyraf Nur Adianto Asyraf Nur Adianto Atikah Aghdhi Pratiwi Aydin Doğan Bachtiar Rosihan Aghda Baihaqy, Ahmed Raecky Cahyono, Beny Danim Musthofa Defriko Christian Dewandhika Dewi Sartika Dimas Fajar Prasetyo Effi Latiffianti Eko Nurmianto Elisabeth - Erwin Widodo Erwin Widodo Fakher Shwan Rafeek Faris Zulfar Rosyadi Fathallah, Aguk Zuhdi Muhammad Hafidz Ridho Hari Prastowo Hasan Aji Prawira Hasan Aji Prawira Herawatie, Dyah Imam Trio Utama Iwan Febrianto Jamal Ramadhan Khoirunnisa Mahdiyah Syawalina Madina Nur Pratiwi Mar'atus Sholihah Maulin Masyito Putri Muhammad Badrus Zaman Muhammad Naufal Bintang Muhammad Saifulloh Muhammadi, Hamdan Musthofa, Danim Nabila Yuraisyah Salsabila Nabila Yuraisyah Salsabila Nugroho, Dwi Oktavianto Wahyu Oryza Akbar Rochmadhan Oryza Akbar Rochmadhan Prasetyo, Dimas Fajar Prawira, Hasan Aji Prayoga, Dharma Gita Surya Priambodo, Bangkit Nadyo Priyanta, Dwi Priyanta, Dwi Retno Widyaningrum Reza Tianto Ridho, Alvin Ichwannur Rochmadhan, Oryza Akbar Salsabila, Nabila Yuraisyah Semin Semin Semin Semin Semin Semin Semin Septian Cahya Shaneza Fatma Rahmadhanty Stefanus Eko Wiratno Sukriyah Kustanti Moerad Sukriyah Kustanti Moerad Syaputra, Oktavian Trika Pitana Widodo , Erwin Wolfgang Busse Yani Dhina Mirenani Yani Dhina Mirenani Zaman, Muhammad Badrus Zulaihan, Ahmad Zya Labiba Zya Labiba