Browsing by Author "Dharmapriya, USS"

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    item: Conference-Abstract
    An Approach to evaluate interrelationships among lean attributes of manufacturing systems : ් case study based on lean enterprises
    Srinath, SLD; Dharmapriya, USS
    Lean philosophy has received more emphasize during recent times due to its robust features which facilitate productive manufacturing environments in companies regardless of the type of industry. However, enormous approaches taken to implement lean manufacturing systems inside factories, have failed to achieve desired objectives. This is mainly due to the focus on individual lean attributes rather than considering their collective impact on a system. This paper suggested an approach to measure correlations among lean attributes using their degrees of implementation. These correlations will help organizations to identify lean attributes which are interrelated. The quest is how to measure the degree to which each lean attribute has been implemented within the organization. Different companies have varying levels of lean implementations. Therefore identifying the leanness requires the organization to compare itself against a proxy company who has also implemented similar lean attributes. This research suggested an approach to identify a proxy company and then evaluate the degrees of lean attribute implementations of the selected company. The fuzzy membership functions were used to calculate the degrees. These degrees were then used to figure out possible correlations among lean attributes. The research findings showed that visual feedback made available to the factory floor had triggered a positive impact on other lean attributes in most circumstances.
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    item: Conference-Full-text
    An approach to evaluate interrelationships among lean attributes of manufacturing systems: A case study based on lean enterprises
    (2015-08-03) Srinath, SLD; Dharmapriya, USS
    Lean philosophy has received more emphasize during recent times due to its robust features which facilitate productive manufacturing environments in companies regardless of the type of industry. However, enormous approaches taken to implement lean manufacturing systems inside factories, have failed to achieve desired objectives. This is mainly due to the focus on individual lean attributes rather than considering their collective impact on a system. This paper suggested an approach to measure correlations among lean attributes using their degrees of implementation. These correlations will help organizations to identify lean attributes which are interrelated. The quest is how to measure the degree to which each lean attribute has been implemented within the organization. Different companies have varying levels of lean implementations. Therefore identifying the leanness requires the organization to compare itself against a proxy company who has also implemented similar lean attributes. This research suggested an approach to identify a proxy company and then evaluate the degrees of lean attribute implementations of the selected company. The fuzzy membership functions were used to calculate the degrees. These degrees were then used to figure out possible correlations among lean attributes. The research findings showed that visual feedback made available to the factory floor had triggered a positive impact on other lean attributes in most circumstances.
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    item: Conference-Full-text
    Optimization of multi-objective outbound logistics operation
    Dharmapriya, USS; Kumarage, Amal S
    Distribution, one of major outbound logistics functions draws attention due to high cost incurred. This study investigates the planning of a real time distribution operation achieving three objectives simultaneously. Route optimization, truck utilization and equal delivery make-span have been accompanied in order to address the problem giving financial benefits to company and satisfying the stake-holders. It is a real challenge to fulfill these three objectives concurrently; however, this research provides promising solution for the problem combining both exact and heuristics techniques. Heuristics techniques exploits to cluster the customers ensuring equal delivery make-span and Dijikstra algorithm has been modified to generate optimal route in terms of distance and delivery quantity. Algorithm was developed in C++. Results reveal that proposed route planning reduces the cost by 11.5 % included with 50% reduction of fleet size and 37% saving of travel distance.
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    item: Conference-Full-text
    Railway based container transportation to greening supply chains: a case study in Sri Lanka
    (2013-11-09) Jayatilaka, KDPR; Abanwela, LYDJ; Dahanayake, KWDWS; Kulatunga, AK; Dharmapriya, USS
    The scale of export and importation has been rapidly increased in Sri Lanka recent past. Large percentage of this fall into local manufacturing industry which are scattered around number of export processing zones around the island. Due to road based container transportation, most of the highways experiencing traffic congestions especially around main cities and in Colombo city where the only container handling port is located. Not only the traffic congestion contribute CO2 emissions but also the large number of trucks which transport containers are the major contributory factor of transportation related emissions. However, there is dearth of research on these issues in local context especially on the alternative mode of container transportation. Conversely, local railway network is connecting commercial hub with eastern, southern, northern and central regions of the island. Further, Sri Lanka Railways currently upgrades the track conditions to run high speed trains and rehabilitant northern line after the war. Therefore, this research focuses on to investigate the feasibility of adapting railways as a mode of container transportation in order to reduce CO2 emissions during the container transportation. The inward and outward bound containers to the export processing zones from/to Colombo harbour are considered for this research. The in and out bound containers to the 11 export processing zones over the last year were analyzed to investigate the feasibility of converting transportation to railways since there should be reasonable number of containers necessary to run a freight train in economical manner. IN addition to the emission comparisons cost benefit analysis also carried out in this research. The results revealed that 4 out of 11 export processing zones have necessary quantities of containers which can be transported by railway mode. The level of direct emission reduction out of the transportation is significant and based on indirect factors such as traffic congestions, this value increases further. The baseline information and comparison were carried out according to IPCC guidelines.
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    item: Conference-Extended-Abstract
    Stochastic self localization of a mobile robot
    (2010) Dharmapriya, USS; Dileepa, R; Dharmawardena, HI; Dharmadasa, YC; Pathirana, C
    This paper describes a solution to the localization problem based on the Extended Kalman filter Estimation of the location and path of a Nonholonomic robot in a given environment is a key problem which needs to be overcame for successful mobile robot navigation. In this work a differential drive vehicle model is used and evolution of the vehicle motion is modeled using vehicle frame translation derived from successive dead reckoned poses as a control input. The nearest neighbor algorithm is used for the purpose of data association .The localization algorithm is simulated using matlab. The results shown that the proposed approach localizes the robot with the necessary accuracy.