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All Journal Jurnal Manajemen Teknologi Journal of Business and Management The Indonesian Journal of Business Administration Jurnal Administrasi Kesehatan Indonesia The Asian Journal of Technology Management (AJTM) International Research Journal of Business Studies (E-Journal) International Journal of Supply Chain Management YUME : Journal of Management Jurnal Review Pendidikan dan Pengajaran (JRPP) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal Of World Science International Journal of Management, Entrepreneurship, Social Science and Humanities (IJMESH) Jurnal Bisnis Corporate Journal Integration of Social Studies and Business Development Conference Proceedings International Conference on Education Innovation and Social Science Journal of Indonesian Health Policy and Administration International Research Journal of Business Studies
Mursyid Hasan Basri
Universitas Bangka Belitung
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Journal : The Asian Journal of Technology Management (AJTM)

 1 
Inventory Level Improvement in Pharmacy Company Using Probabilistic EOQ Model and Two Echelon Inventory: A Case Study Farmaciawaty, Desy Anisya; Basri, Mursyid Hasan; Utama, Akbar Adhi; Widjaja, Fransisca Budyanto; Rachmania, Ilma Nurul
The Asian Journal of Technology Management (AJTM) Vol 13, No 3 (2020)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2020.13.3.4

Abstract

Abstract. This research is aimed to maintain the inventory level in a two-echelon pharmacy company. The company is a pharmacy company that has 16 branches that operate in Bandung and the surrounding area. The company has a problem with its high inventory cost. To solve the problem, the authors compare two methods that suit the company condition, i.e., the decentralized system using probabilistic EOQ model and the centralization system using the multi-echelon inventory technique. We analyzed sales data and on-hand inventory data acquired from the company information system to perform the study. We limit the scope to the class A items only. We also assume the lead time, setup cost, and holding cost used in this study with the company's owner's consent. To conclude, using the decentralized system, the company will save 31% of their inventory cost, while using the centralization system with the multi-echelon technique, the company will be able to save 61% of their inventory cost. We recommend the company to refer to its competitive strategy before deciding which model it would be implemented. Keywords:  Centralization, Decentralization, Probabilistic Economic Order Quantity (EOQ), Multi-Echelon Inventory, Pharmaceutical Inventory Management
Improvement of Inventory Control Using Continuous Review Policy in A Local Hospital at Bandung City, Indonesia Hafnika, Fina; Farmaciawaty, Desy Anisya; Adhiutama, Akbar; Basri, Mursyid Hasan
The Asian Journal of Technology Management (AJTM) Vol 9, No 2 (2016)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2016.9.2.5

Abstract

Abstract. This research was aimed to analyze the excess inventories issue in pharmacy and medical equipment unit at a local hospital in Bandung which affected the service level of the hospital. As one of the busy hospital in Java, proven by the higher amount of the patient/year than in other average Java typical hospital, the hospital needs to concern about the pharmaceutical and medical equipment inventories in order to fulfill patients’ needs and in the same time keeping the inventory level under control. Therefore, an inventory control evaluation was conducted to determine the appropriate number of inventories and time of order to avoid the excessive goods in central warehouse of the hospital. By using probabilistic inventory model and continuous review policy, the pharmaceutical inventory in the hospital was calculated to compare the ideal and actual amount of the average inventory level (AIL). ABC (Always, Better, Control) classification also classified in this research to identify the proper item which potentially can be reduced from the inventory. From the analysis, we have discovered that the hospital potentially able to reduce almost Rp 830 million or 57% from the overstock inventory level by using continuous review policy as the basis of inventory control calculation system.Keywords:  Continuous review policy, inventory control, EOQ, ROP, AIL
Solving Hub Network Problem Using Genetic Algorithm Basri, Mursyid Hasan
The Asian Journal of Technology Management (AJTM) Vol 1, No 2 (2008)
Publisher : School of Business and Management Institut Teknologi Bandung

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

Abstract

This paper addresses a network problem that described as follows. There are n ports that interact, and p of those will be designated as hubs. All hubs are fully interconnected. Each spoke will be allocated to only one of available hubs. Direct connection between two spokes is allowed only if they are allocated to the same hub. The latter is a distinct characteristic that differs it from pure hub-and-spoke system. In case of pure hub-and-spoke system, direct connection between two spokes is not allowed. The problem is where to locate hub ports and to which hub a spoke should be allocated so that total transportation cost is minimum. In the first model, there are some additional aspects are taken into consideration in order to achieve a better representation of the problem. The first, weekly service should be accomplished. Secondly, various vessel types should be considered. The last, a concept of inter-hub discount factor is introduced. Regarding the last aspect, it represents cost reduction factor at hub ports due to economies of scale. In practice, it is common that the cost rate for inter-hub movement is less than the cost rate for movement between hub and origin/destination. In this first model, inter-hub discount factor is assumed independent with amount of flows on inter-hub links (denoted as flow-independent discount policy). The results indicated that the patterns of enlargement of container ship size, to some degree, are similar with those in Kurokawa study. However, with regard to hub locations, the results have not represented the real practice. In the proposed model, unsatisfactory result on hub locations is addressed. One aspect that could possibly be improved to find better hub locations is inter-hub discount factor. Then inter-hub discount factor is assumed to depend on amount of inter-hub flows (denoted as flow-dependent discount policy). There are two discount functions examined in this paper. Both functions are characterized by non-linearity, so there is no guarantee to find the optimal solution. Moreover, it has generated a great number of variables. Therefore, a heuristic method is required to find near optimal solution with reasonable computation time. For this reason, a genetic algorithm (GA)-based procedure is proposed. The proposed procedure then is applied to the same problem as discussed in the basic model. The results indicated that there is significant improvement on hub locations. Flows are successfully consolidated to several big ports as expected. With regards to spoke allocations, however, spokes are not fairly allocated.Keywords: Hub and Spoke Model; Marine Transportation; Genetic Algorithm
Inventory Level Improvement in Pharmacy Company Using Probabilistic EOQ Model and Two Echelon Inventory: A Case Study Farmaciawaty, Desy Anisya; Basri, Mursyid Hasan; Utama, Akbar Adhi; Widjaja, Fransisca Budyanto; Rachmania, Ilma Nurul
The Asian Journal of Technology Management (AJTM) Vol. 13 No. 3 (2020)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2020.13.3.4

Abstract

Abstract. This research is aimed to maintain the inventory level in a two-echelon pharmacy company. The company is a pharmacy company that has 16 branches that operate in Bandung and the surrounding area. The company has a problem with its high inventory cost. To solve the problem, the authors compare two methods that suit the company condition, i.e., the decentralized system using probabilistic EOQ model and the centralization system using the multi-echelon inventory technique. We analyzed sales data and on-hand inventory data acquired from the company information system to perform the study. We limit the scope to the class A items only. We also assume the lead time, setup cost, and holding cost used in this study with the company's owner's consent. To conclude, using the decentralized system, the company will save 31% of their inventory cost, while using the centralization system with the multi-echelon technique, the company will be able to save 61% of their inventory cost. We recommend the company to refer to its competitive strategy before deciding which model it would be implemented. Keywords:  Centralization, Decentralization, Probabilistic Economic Order Quantity (EOQ), Multi-Echelon Inventory, Pharmaceutical Inventory Management
Co-Authors Adhiutama, Akbar Adhiutama, Akbar Afrianda, Arif Andri Bagus Nugraha, Andri Bagus Audi Hakim, Audi Azharudin, Moh. Aldi Belgiawan, Prawira Fajarindra Dermawan Wibisono Dicky Mardiana Eko Nugroho, Andy EVELYN EVELYN Farmaciawaty, Desy Anisya Farmaciawaty, Desy Anisya Farmaciawaty, Desy Anisya Farmaciawaty, Desy Anisya Fransisca Budyanto Widjaja, Fransisca Budyanto Gatot Yudoko Gatot Yudoko Giusti Reza Gumilang Gunawan, Vebiola Guspian, Iza Hafnika, Fina Harry Suryowidagdo Hotmida, Qiraina Febe Hutagaol, Jesica Imelda Febrina, Imelda Irham, Asep Iwan Sulistyo Johan Kurnia Krisna Putra Kurniawan, Muslim El Hakim Kurniawan, Muslim El Hakim Muhammad Abirafdi Muhammad agung Muhammad Rafi Fathurahman Muslim El Hakim Kurniawan Mustain, Khabib Nauzie Novryadin Prameswari, Santika Rachmanda, Reza Rachmania, Ilma Nurul Rachmania, Ilma Nurul Rachmania, Ilma Nurul Rahmah, Rizki Amalia Rahmat Mulyanto Reno Renaldi Tibyan Resandono, Debraldi Riarni Adina Ardanareswari Saputra, Darman Sari, Alivia Nurlita Syifa, Naufal Dhamiri Togar M Simatupang Utama, Akbar Adhi Utama, Akbar Adhi Widjaja, Fransisca Budyanto Widjaja, Fransisca Budyanto