OPTIMASI KEBUTUHAN KENDARAAN PENGANGKUT SAMPAH DI KECAMATAN ILIR BARAT I PROVINSI SUMATERA SELATAN BERDASARKAN ESTIMASI JUMLAH PENDUDUK MENGGUNAKAN MODEL GOAL PROGRAMMING

Pada makalah ini dibahas penentuan jumlah optimal kendaraan pengangkut sampah menggunakan model goal programming. Dilakukan estimasi jumlah penduduk untuk tahun 2020 menggunakan metode aritmatika. Minimum jumlah sisa sampah dan muatan kosong kendaraan sebagai goal nya. Penyelesaian model menggunakan metode branch and bound . Dipertimbangkan dua jenis kendaraaan yaitu armroll dan dumb truck. Diberikan contoh perhitungan untuk kecamatan Ilir Barat II (IB II) kota Palembang. Estimasi jumlah penduduk kecamatan IB II tahun 2020 adalah 69488 jiwa, jumlah timbulan sampah 34745 kg, diperoleh jumlah optimal kendaraan yang dibutuhkan 8 dumb truck dan 1 armroll , tidak terdapat sisa sampah akan tetapi muatan kosong kendaraan sebanyak 255 kg

Optimization for Decision Making II

In the current context of the electronic governance of society, both administrations and citizens are demanding the greater participation of all the actors involved in the decision-making process relative to the governance of society. This book presents collective works published in the recent Special Issue (SI) entitled “Optimization for Decision Making II”. These works give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and the application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks, improve quality in making decisions or, in general, to solve problems. In addition, a sensitivity or robustness analysis should be done to validate/analyze the influence of uncertainty regarding decision-making. This book brings together a collection of inter-/multi-disciplinary works applied to the optimization of decision making in a coherent manner

OPTIMASI KEBUTUHAN KENDARAAN PENGANGKUT SAMPAH BERDASARKAN ESTIMASI JUMLAH PENDUDUK MENGGUNAKAN MODEL GOAL PROGRAMMING

Pertambahan jumlah penduduk berbanding lurus dengan jumlah timbulan sampah yang dihasilkan. Sebagai dasar penentuan jumlah kendaraan pengangkut sampah dilakukan estimasi jumlah penduduk untuk tahun 2020 menggunakan metode aritmatika. Penentuan jumlah optimal kendaraan pengangkut sampah menggunakan model goal programming dengan minimum jumlah sisa sampah dan muatan kosong kendaraan sebagai goalnya. Penyelesaian model menggunakan metode branch and bound. Dipertimbangkan dua jenis kendaraaan yaitu armroll dan dumb truck. Diberikan contoh perhitungan untuk kecamatan Ilir Barat II  (IB II) kota Palembang. Estimasi jumlah penduduk kecamatan IB II tahun 2020 adalah 69488 jiwa, jumlah timbulan sampah 34745 kg, diperoleh jumlah optimal kendaraan yang dibutuhkan 8 dumb truck dan 1 armroll

National freight transport planning: towards a Strategic Planning Extranet Decision Support System (SPEDSS)

This thesis provides a `proof-of-concept' prototype and a design architecture for a Object Oriented (00) database towards the development of a Decision Support System (DSS) for the national freight transport planning problem. Both governments and industry require a Strategic Planning Extranet Decision Support System (SPEDSS) for their effective management of the national Freight Transport Networks (FTN). This thesis addresses the three key problems for the development of a SPEDSS to facilitate national strategic freight planning: 1) scope and scale of data available and required; 2) scope and scale of existing models; and 3) construction of the software. The research approach taken embodies systems thinking and includes the use of: Object Oriented Analysis and Design (OOA/D) for problem encapsulation and database design; artificial neural network (and proposed rule extraction) for knowledge acquisition of the United States FTN data set; and an iterative Object Oriented (00) software design for the development of a `proof-of-concept' prototype. The research findings demonstrate that an 00 approach along with the use of 00 methodologies and technologies coupled with artificial neural networks (ANNs) offers a robust and flexible methodology for the analysis of the FTN problem domain and the design architecture of an Extranet based SPEDSS. The objectives of this research were to: 1) identify and analyse current problems and proposed solutions facing industry and governments in strategic transportation planning; 2) determine the functional requirements of an FTN SPEDSS; 3) perform a feasibility analysis for building a FTN SPEDSS `proof-of-concept' prototype and (00) database design; 4) develop a methodology for a national `internet-enabled' SPEDSS model and database; 5) construct a `proof-of-concept' prototype for a SPEDSS encapsulating identified user requirements; 6) develop a methodology to resolve the issue of the scale of data and data knowledge acquisition which would act as the `intelligence' within a SPDSS; 7) implement the data methodology using Artificial Neural Networks (ANNs) towards the validation of it; and 8) make recommendations for national freight transportation strategic planning and further research required to fulfil the needs of governments and industry. This thesis includes: an 00 database design for encapsulation of the FTN; an `internet-enabled' Dynamic Modelling Methodology (DMM) for the virtual modelling of the FTNs; a Unified Modelling Language (UML) `proof-of-concept' prototype; and conclusions and recommendations for further collaborative research are identified

Bottling plant location of microbreweries in East Midlands area, UK

Facility location decisions are critical in real-life projects, which impact on profitability of investment and service levels from demand side. In this paper, a project-based facility location problem should be resolved which refers to the establishment of a centralized bottling plant to serve microbreweries in East Midlands area of UK. This problem will be structured by firstly finding a mathematically theoretical location using the centre-of-gravity method and then formulate the problem as a multi-criteria decision making problem applying Analytical Hierarchy Process based on selection of the optimal location out of the four candidate locations where three of those have been given. The second part is modeled by considering several criteria related to both the activities before and after bottling and also issues of surrounding area of the location where the prioritization of those criteria are based on the preferences of the project investor. The final result is obtained by applying EXPERT CHOICE to approach Eigenvalue methods to enhance Analytical Hierarchy Process. The outcome can be clarified with illustration of the sensitivities resulted from the weight changes of criteria and the pull-out of certain criteria. Key Words: Facility Location, center-of-gravity method, Multi-criteria decision making, Analytical Hierarchy Proces

Bottling plant location of microbreweries in East Midlands area, UK

Facility location decisions are critical in real-life projects, which impact on profitability of investment and service levels from demand side. In this paper, a project-based facility location problem should be resolved which refers to the establishment of a centralized bottling plant to serve microbreweries in East Midlands area of UK. This problem will be structured by firstly finding a mathematically theoretical location using the centre-of-gravity method and then formulate the problem as a multi-criteria decision making problem applying Analytical Hierarchy Process based on selection of the optimal location out of the four candidate locations where three of those have been given. The second part is modeled by considering several criteria related to both the activities before and after bottling and also issues of surrounding area of the location where the prioritization of those criteria are based on the preferences of the project investor. The final result is obtained by applying EXPERT CHOICE to approach Eigenvalue methods to enhance Analytical Hierarchy Process. The outcome can be clarified with illustration of the sensitivities resulted from the weight changes of criteria and the pull-out of certain criteria. Key Words: Facility Location, center-of-gravity method, Multi-criteria decision making, Analytical Hierarchy Proces