Strategic Design of Distribution System of State-owned Companies : Solution Development

Abstract: A method is presented to solve location problem of PSO-SOC, which is characterized as Minimum Concave-cost Multi-commodity Flow (MCMF) problem. Core idea of proposed solution procedure is the exploitation of network representation (NR). It is found that despite the solution is approached by an aggregate flow, our network representation could derive disaggregate flows, especially for those which deal with diverse cost functions among each commodity, such as production cost and revenue. In addition, our NR could deal with the situation where total supply is not in balance with total demand. The other characteristic of proposed solution procedure is that location decision of MCMF-NR is not represented by the binary number, as employed on most of location model. Location decision is represented by the flow on links associated to fixed-cost of facility. General heuristic algorithm related to Destination Spanning Tree development is suggested to solve the MCMF-NR, and an illustrative example is also discussed

The impact of heavy vehicle’s composition to traffic performance of Jakarta Intra Urban Toll Road (JIUT) in macroscopic level

Freight vehicle access restriction policy in 2011 has had an impact on the performance of Jakarta Intra Urban Toll way (JIUT) system. The statutory segment (Cawang-Tomang) of this toll road system seems to have better performance, but not for the advisory segment (Cawang -Ancol). Basically, heavy vehicles (HV) shift their routes to the advisory segment to avoid the statutory segment at which they are prohibited to access from 05.00 a.m. to 10.00 p.m.. This study aims to investigate the impact of the HV composition on the traffic performance of the advisory segment of JIUT. Data were obtained from 48 hours of traffic recording at a part of Cawang-Ancol segment. It was found that the Underwood Model (exponential model) can represent the relationship between the three main parameters of traffic flow on the advisory segment, i.e. volume, speed, and density. Based on the developed traffic flow models which are classified on the HV composition, it is shown that the free flow speed (uf) for HV composition 6% (i.e. 107.02 km/h). The actual road capacity (qm) in HV composition 6% (i.e. 3937 pcu/hour). The results will benefit to the transport authority to justify the truck access restriction implementation

The impact of truck access restriction on toll road traffic performance

The freight vehicle access restriction policy in 2011 has had an impact on the performance of the Jakarta Intra Urban Toll way (JIUT) system. Though most of the truck operators are not in favour of this policy, truck restriction has become common strategy to reduce congestion in many cities in the world. The purpose of this study is to analyse the impact of the existence of trucks in the traffic stream on the JIUT system. The analysis will show the impact of access restriction on the toll road performance from a macroscopic point of view, which is represented by the speed - flow - density model. The model will be calibrated by the data of 24-hour observation in a certain segment of JIUT. The model when the trucks are prohibited to use in that condition will be compared to the one when the trucks are allowed to travel. The difference between both models will indicate the impact of the policy. The comparison between both conditions shows a 28.17% better speed performance based on free flow speed and 28.17% higher efficiency at maximum flow rate. This study will benefit the toll operator as well as local transport authority in making decisions on similar policy in order to gain a more optimal advantage of the implementation

A resource sharing (sharing platform) scheme on online taxi services

This paper will review the match between single driver and single rider in online taxi services through a resource sharing (sharing platform) for the operators with the objectives to maximize the profit for drivers (operators) and minimize waiting time for passengers so that the matching rate is higher. A low matching rate between rider and driver can cause the consumer to drop the services. The matching between single driver and single rider in online taxi services through a sharing platform scheme is formulated in maximum weighted bipartite matching problem. To solve the proposed model, we use Kuhn Munkres Algorithm, while to solve the shortest path for the driver to pick up the passenger and the shortest path of passenger's origin destination, modified Dijkstra with adaptive algorithm based on Wei Peng et.al (2012) is used. Based on illustrative example with several cases, we found a resource sharing scenario can optimize the matching between driver and rider and moreover can solve the surge pricing problem which is deemed as less transparant to custome

Developing Conceptual Design of High Speed Railways using Value Engineering Method: Creating Optimum Project Benefits

As a consequence of an improvement in productivity, due to shorter travel time and further development in connectivity, a High Speed Train (HST) project is one kind of infrastructure which has a potential for positive impact on economic development and growth. However, HST project feasibility rarely meets related stakeholders’ expectations, since the benefits and added value are considered low, when compared to the value of investment. Therefore, a comprehensive study is required by producing innovative ideas to improve the feasibility of HST projects, from the viewpoint of both technical and economic aspects. This study is aimed at improving the feasibility of project investment for the conceptual design of Jakarta-Surabaya HST project by using Value Engineering (VE). The methodology uses both qualitative and quantitative approaches through in-depth interviews and life cycle cost analysis. Route 1 selected as the best scenario that has 4 stations connecting Jakarta to Cirebon to Semarang, and to Surabaya. The HST project requires a budget of 36 Trillion IDR with operational and maintenance costs estimated for about 1.2 Billion IDR per year for 685 km of high speed train infrastructure

A resource sharing (sharing platform) scheme on online taxi services

This paper will review the match between single driver and single rider in online taxi services through a resource sharing (sharing platform) for the operators with the objectives to maximize the profit for drivers (operators) and minimize waiting time for passengers so that the matching rate is higher. A low matching rate between rider and driver can cause the consumer to drop the services. The matching between single driver and single rider in online taxi services through a sharing platform scheme is formulated in maximum weighted bipartite matching problem. To solve the proposed model, we use Kuhn Munkres Algorithm, while to solve the shortest path for the driver to pick up the passenger and the shortest path of passenger's origin destination, modified Dijkstra with adaptive algorithm based on Wei Peng et.al (2012) is used. Based on illustrative example with several cases, we found a resource sharing scenario can optimize the matching between driver and rider and moreover can solve the surge pricing problem which is deemed as less transparant to custome

Using advanced spectral anlayses techniques as possible means of identifying clay minerals

Spectral analyses, one of the most advanced remote sensing techniques, were used as a possible means of identifying the mineralogy of the clay fractions that corresponded to the K;uumlccediluuml;k Menderes Plain, south of Izmir, Turkey. Different spectral processes were used to execute the prospective spectral analyses. The processes include: i. the reflectance calibration of TM images belonging to the studied area, ii. using minimum noise fraction (MNF) transformation and iii. creating the pixel purity index (PP1), which was used to the most ;quot;spectrally pure;quot;, extreme, pixel in multi-spectral images. Spectral analyses of the clay mineralogy of the studied area were obtained by matching the unknown spectra of the purest pixels to pre-defined (library) spectra providing scores with respect to the library spectra. Three methods, namely Spectral Feature Fitting (SFF), Spectral Angle Mapper (SAM) and Binary Encoding (BE) were used to produce a score between 0 and 1, where the value of 1 equals a perfect match showing the exact mineral type. We were able to identify 4 clay minerals i.e., vermiculite, kaolinite, montmorillonite and illite, recording different scores related to their abundance in the soils. In order to check the validity and accuracy of the results obtained regarding the spectral signatures of the minerals identified, soil samples taken from the same localities were subjected to X- ray analysis. As a result a good correlation was found between the spectral signatures and the X- ray diffractions.izmir ilinin güneyinde bulunan Küçük Menderes deltası topraklarında kil mineral tiplerinin belirlenmesinde uzaktan algılama tekniklerinden spektral analiz tekniği kullanılmıştır. Bu amaçla çalışma alanına ait TM görüntülerinin yansıma kalibrasyonu yapılmıştır. Minimum Noise Fraction (MNF) yöntemi ile görüntüdeki bozukluklar gerekli matematiksel algoritmalar kullanılarak azaltılmıştır. Pixel Purity Index (PPI) tekniği kullanılarak görüntünün piksel boyutundaki mineral tanecik yansımaları belirlenmiştir. MNF ve PPI teknikleri beraberce kullanılmış ve 3 boyutlu görünüm yardımıyla en iyi yansımayı veren piksellerin yerini bulmak, tanımlamak ve sınıflandırarak ayrımlı mineraller için en iyi spektral yansımalar belirlenmiştir. Çalışma alanına ait bilinmeyen spektral yansıma analizleri minerallerin yansıma özellikleri ile karşılaştırılmışım Spectral Feature Fitting (SFF), Spectral Angle Mapper (SAM) ve Binary Encoding (BE) teknikleri kullanılarak spektral yansımalarla mineral yansımaları arasında eşleştirilme yapılarak ayrımlı mineral tipleri belirlenmiştir. Bu yöntemlerde O ile l arasında değişen sayılar kullanılmıştır, l en uygun eşlemeye karşılık gelen spektral özellik olup, bir mineralin spektral özelliğine tam olarak uyan yansımayı göstermektedir. Çalışma alanı topraklarında bulunma yoğunluğuna göre kil mineralleri vermikulit, kaolinit, illit ve montmorillonit'tir. Kullanılan spektral yöntemlerde bulunan minerallere ait spektral değerlerin doğruluk analizleri için spektral analizlerin yapıldığı alanlardan toprak örnekleri alınmış ve toprak örneklerinin X-ray sonuçlan ile spektral analiz sonuçları arasında pozitif ilişki belirlenmiştir

Terrain characterization for soils survey of Kucuk Menderes plain, South of Izmir, Turkey, using remote sensing and GIS techniques

WOS: 000291072600012Aerial photographs and satellite image interpretation, field investigation and laboratory analyses were integrated with a geographic information system (GIS) to recognize and display terrain and soils characteristics of Kucuk Menderes plain, South of Izmir, Turkey. Seven geomorphologic units were recognized, these being: recent shore ridges and marine beaches, schist and phyllite highlands, limestone highlands, foot slopes, alluvial fans, young alluvial plains and drainage basins. The data were integrated with topographic maps covering the area by using GIS tools. Contour lines were used to generate a digital terrain model (DTM) of the area. The DTM was processed to generate shaded relief. A Landsat 7 ETM satellite image was draped on the DTM to display the spatial scope of the investigated area. For the purpose of creating a soil map 15 observation points were dug representing the different physiographic units belonging to the study area. Soil mapping units have been identified by integrating physiographic units, field survey observations, morphologic description and laboratory analyses. Seven soil taxonomic units have been recognized, namely: Typic Xeropsamments, Aquic Xeropsamments, Typic Xerofluvents, Aquic Haploxerepts, Typic Xerorthents, Typic Calcixerepts and Fluventic Haploxerepts. Physiographic and soil maps with a scale of 1:25.000 were produced