105 research outputs found
Decision Support System for Determining Number of Depot to Distribute Material in the Rattan Furniture Industry by Considering the Location-Allocation Problem
No full textIn this paper we will develop a spreadsheet-based Decision Support System (DSS) to determine the
number of rattan depot and supply allocation to meet the production centers demand with case study in Solo Raya.
The DSS incorporates database, model base, analysis tool, and Graphical User Interface (GUI) and user.
Databases for storing data, the model base to keep models, analysis tool is required for solving the model and GUI
allows users to interact with the database, model base and analysis tool. Data base, the base model and analysis
tool are developed using the spreadsheet. The basic idea of the proposed approach is the spreadsheets can be used
to build data-driven, model-driven DSS and solver-driven DSS. The model was developed by consider two stages
of distribution network, multi commodities of raw rattan, and multi-periods of production plan. The DSS
development approaches used in order to government can efficiently make the policy. DSS software interface is
designed so user-friendly with point and click application so that users can operate quickly and easily. Users do
not need to formulate a mathematical model despite they want to change index values or parameters repeatedly.
The test results of case examples provided also give good results, where the software is capable for processing data
based on selected model. The DSS is capable for providing location results and the allocation of raw or processed
rattan at the depot on minimal total supply chain cost. The result may be a consideration for the policy makers to
determine the right location of rattan depot.
Keywords: decision support system, spreadsheet, location-allocation model, rattan industr
A Facility Location-Allocation Model for Determining Number of Depot to Distribute Material in the Rattan Furniture Industry by Considering Dynamic Demand
No full textThis paper is a study of a facility location-allocation problem in the rattan furniture industry. There
are six production centers (PCs) of rattan furniture in Surakarta and its surroundings. However, their export
sales are decline due to some possible problems in raw rattan distribution network from the sources centers
(SCs), e.g. Borneo and Celebes Island to production centers. In the previous research, the model was expanded
to support local government decide to determine optimal number of depot by consider static demand. This
policy is aimed to cut the distribution channel and reduce total supply chain costs. Due to changing of global
market, the demand is fluctuate. The previous model cannot anticipate this situation; consequently the local
government needs a facility location-allocation model by considering dynamic demand. The objective of this
research is to develop a model for supporting the local government to decide optimal number of depot by
considers dynamic demand. A mixed integer non-linear programming (MINLP) was proposed to minimize total
supply chain costs. The proposed model assumed that the demand for multiple products is known in advance.
The potential raw rattan depot and source locations as well as their maximum capacities are also known.
Finally, the proposed model can be used as instrument decision making to determine facility location-allocation.
Keywords: dynamic demand, a facility location-allocation model, rattan industry competitiveness, total supply
chain costs
Estimasi biaya dan total cost of ownership
No full textBuku ekonomi yang berjudul Estimasi Biaya Dan Total Cost Of Ownership merupakan buku karya Yuniaristanto, Muhammad Hisjam & Sayyidah Maulidatul Afraah. Buku ini disusun secara umum, sederhana, dan jelas guna memenuhi kebutuhan dalam memahami permasalahan berkaitan dengan estimasi biaya. Buku tentang estimasi biaya dan total biaya kepemilikan ini diharapkan dapat memberikan pemahaman yang sebaik-baiknya bagi mereka yang ingin mengetahui materi estimasi biaya. Buku Estimasi Biaya Dan Total Cost Of Ownership membahas tentang konsep-konsep estimasi biaya dan total biaya kepemilikan serta diberikan contoh agar memberikan pemahaman yang lebih jelas kepada pembac
Designing Information System To Support Business Process Improvement In A Small-Mid Size Bottled Drinking Water Industry
No full textDue to inefficiencies of the business processes in small-mid size of bottled drinking water industries,
it is necessary to improve them. The improvements are carried out in business processes of production,
warehouse, delivery, marketing, and finance departments. The main causes of the inefficiencies are the
inefficiencies of the business process itself and that the business processes of those departments were not
integrated. This paper is concerned with designing information system to support for the integration of those
departments. First, we mapped the business process of each department using flow diagram. Then analyze the
inefficiencies of each department. Next, we redesign the business processes and standardize them. The next step
is integrating the business processes by designing the information system. We design the information system
modular. The modules are marketing module, production module, logistic module and finance module. Data
Flow Diagram (DFD) is used to model the system. Relational database management system (RDBMS) is used
to design the database. User interfaces are built to ease in using the program application. The outputs of the
information system are reports and documents in monitor screen view and in printing. The validation showed
that the information system designed can support the business process improvements.
Keywords: business process improvement, integration, information system, small-mid size of bottled drinking
water industr
Penjadwalan Pekerjaan pada No-Wait Flowshop dengan Kriteria Minimasi Total Waktu Tinggal Aktual Menggunakan Algoritma Genetik
No full textThis research uses genetic algorithm for no-wait flowshop scheduling problem. The shop requires the
condition that each job be processed without any interruptions on all m machines and between two
consecutive machine. This means that the start of processing a job on a given machine may be delayed in
order to make the completion of the job on the machine coincide with this beginning of processing the job
on the subsequent machine. The objective for the model is to minimize total actual flow time
accommodating the condition that job to be processed arrive at the shop at any times when needed and
the condition that the completed job be delivered at a common due-date. Genetic algorithm is randomly
and structured search to find optimal solution. Numerical experience shows that for a given scheduling
problem, genetic algorithm solution better than before (Yuniaristanto, 2001).
Keywords : actual flowtime, genetic algorithm, no-wait flowsho
Designing Enterprise Resources Planning Application for Integrating Main Activities in a Simulator Model of SCM Network Distribution
No full textCollaborative supply chain is a specific topic in supply chain management and studied by
industrial engineering students in supply chain management course. Unfortunately, conventional
learning media cannot explain the phenomenon of collaborative supply chain to the students. This study
aimed to design a dynamic learning media so that inter-company collaboration and information sharing
on the activities of Supply Chain entities can be explained effectively to the students. The problem was
solved using 3 (three) steps. First, the distribution network was described using mock up. It consists of
miniature trucks, miniature network and miniature of the manufacturer-distributor-retailer embedded
with tag and reader of RFID. Second, the Enterprise Resources Planning application was developed for
supporting business activities. Third, we developed the integrator consists of monitor’s user interface
and practice modules. The result of the research - an SCM-Simulator – will be able to improve learning
skills of industrial engineering graduates, especially abilities to identify, formulate, and solve the
activities of tactical plan & operational routines of Supply Chain entities. However, distribution module
designed is for limited scale laboratory study of simple objects.
Keywords: Distribution Network, Enterprise Resource Planning, Industrial Engineering Education,
SCM Simulator,and Learning Media
Pengelolaan Supply Produk Waferstick dengan Mempertimbangkan Kapasitas Produksi dan Persediann Barang Jadi di PT. Tiga Pilar Sejahtera Food, Tbk
No full textIn general, planning supply use the information from combining varying capacity and inventory to plant the aggregate rates of production by time period for groups of product. This research objective is PT. Tiga Pilar Sejahtera's (TPS) that produces wafersticks. In the company sometimes occured the waferstick product can be not fulfilled. This is happened because waferstick inventory unstable. This causes problem that PT. Tiga Pilar Sejahtera (TPS) was less capable to fullfil the market's demands. to solve this PT. TPS should be managing the working hours, workforces, production capacity and finished good inventory, they are called aggregate planning. This research are determine safety stocks, planning supply and material inventory planning. Managing supply of waferstick product is started by forecast the demand. The forecast result is used to estimate safety stock of waferstick. Then the forecasting result and safety stock became of input Integer linier programming model to determine aggregate planning. The aggregare planning is used to find optimal lot size of waferstick raw material. Then lot sizing become input Planned Order Receipt in the Material Planning Requirement (MPR). Forecast method used to forecast the demand is decomposition, this method is the best method to find estimation demand because it have more less MAD than the other. The determination of the safety stock is actually more accurate with the 90% by Romy & Yuli waferstick safety inventory is 1106 cartons and 2364 cartons for Pio. From aggregate planning there is back order in 13th is 11 cartons. The planning cost for Romy & Yuli waferstick Rp 625.670.902,33 and cost for Pio waferstick Rp 1.462.296.180,00. Waferstick material planning by optimal lot size between 695 kilograms up to 8487 kilograms by waferstick material cost is Rp. 6.315.520,00
Model Penjadwalan Pekerjaan pada Zero-buffer Flowshop Tipe (1) dengan Kriteria Minimasi Total Waktu Tinggal Aktual
No full textThis paper proposes a scheduling model to determine a sequence of the jobs processed in zero-buffer
flowshop with separated setup times. In this case, the setup for the next job on current machine can start
as soon as this machine completes its processing of the current job. The objective for the model is to
minimize total actual flow time accommodating the condition that jobs to be processed arrive at the shop
at any times when needed and the condition that the completed jobs be delivered at a common due-date. A
heuristic algorithm searching the best solution from the resulting feasible solution has been developed.
The numerical experience showing the characteristic of the problem is also presented.
Keywords : zero-buffer flowshop, scheduling, actual flowtime
Model Penjadwalan Pekerjaan pada Flowshop dengan Kriteria Minimasi Total Waktu Tingal Aktual
No full textThis paper proposes a scheduling model to determine a sequence of the jobs processed in flowshop. The objective for the model is to minimize total actual flow time accomodating the condition that jobs to be processed arrive at the shop at any times when needed and he condition that the completed jobs be delivered at a common due-date. A heuristic algorithm searching the best solution from the resulting feasible solution has been developed The numerical experience showing the characteristic of the problem is also presented.
Keywords :scheduling, heuristic, acutal flowtime
Penjadwalan Pekerjaan pada No-Wait Flowshop dengan Pembatasan Common Due-Date
No full textThis paper addresses job-scheduling in no-wait flowshop.No-wait floshop ives condition that each job processed without any interuptions on machine or between two machines. Criteria of this problems is to minimize total actual flowtime that accomodate condition that jobs arrive in the shop whenthey needed and deliver them to due-date. Heuristic algorithm is developed to find feasible solutions. An numerical example is also provided to show how the proposed method work. Example results show total actual flowtime in no-wait flowshop higher than total actual flowtime in general floshop..
Keywords : scheduling, no-wait flowshop, total actual flowime
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