Browsing by Author "Samarasekera, NA"

Now showing 1 - 10 of 10

item: Conference-Extended-Abstract
Analysis of the settlement of revenue pooling in the Sahasara bus reforms project
(Sri Lanka Society of Transport and Logistics, 2017-07) Kumarage, AS; Keerthisinghe, NACM; Samarasekera, NA; Silva, HCN; Gunaruwan, TL
item: Conference-Extended-Abstract
Application of GPS vehicle tracking technology in Sri Lankan supply chains
(Sri Lanka Society for Transport and Logistics, 2016-06) Fernando, R; Samarasekera, NA; Gunaruwan, TL
item: Conference-Extended-Abstract
Impact of different factors affecting a facility location decision in ship supply services industry
(Sri Lanka Society of Transport and Logistics, 2018-06) Sirisena, O; Samarasekera, NA; Gunaruwan, TL
item: Conference-Extended-Abstract
Impact of ERP implementation on supply chain performance of transport and logistics companies in Sri Lanka
(Sri Lanka Society of Transport and Logistics, 2017-07) Yapa, D; Samarasekera, NA; Gunaruwan, TL
item: Conference-Extended-Abstract
Impact of passenger load factor variability on average daily flight kitchen waste in the flight catering industry of Sri Lanka
(Sri Lanka Society of Transport and Logistics, 2018-06) Megodawickrama, PL; Samarasekera, NA; Amarasena, SM; Gunaruwan, TL
item: Conference-Extended-Abstract
A reliable road network to supply necessities in a flood situation: the case of Biyagama divisional secretariat, Sri Lanka
(Sri Lanka Society of Transport and Logistics, 2017-07) Jayakody, H; Samarasekera, NA; Gunaruwan, TL
item: Thesis-Full-text
Schedule optimization of freight vehicle fleet using data analytics
(2018) Keerthisinghe, NACM; Bandara, HMND; Samarasekera, NA
Schedule optimization is a key decision process of fleet management. However, truck and driver scheduling in multi-plant goods distribution is a complex problem due to geographically distributed customer sites and plants, heterogeneity in trucks, driver behavior, varying traffic conditions, and constraints such as working and resting hours for drivers. Moreover, we need to satisfy conflicting objectives such as maximizing order coverage and minimizing of the overall costs. At present context, the scheduling process is typically handled by a fleet manager who is responsible for assigning both the trucks and drivers to meet the confirmed jobs/orders of a given day. Such scheduling usually happens on the evening of the day prior to the order delivery date. As an NP-complete problem, assigning most suitable pair of vehicle and driver while satisfying both company and customer becomes difficult in a situation where there is an increment of total number of orders. We propose an automated, heuristic-based truck and driver scheduling solution which comprises of a rule checker and a scheduler. Rule checker imposes constraints and conditions such as driver and truck availability, delivery time constraints, and operating and resting hours. A scheduler that applies simulated annealing is proposed to cover as many orders as possible while minimizing the overall cost. The utility of the proposed solution is tested using a workload derived from a real-world bulk-cement distribution company. The results show good coverage of orders where the coverage increased by more than 10% compared to manual scheduling while minimizing the total cost by 35%. Furthermore, the solution has flexibility to tolerate exceptions due to breakdowns, traffic congestion, and extreme weather conditions without a considerable impact on most of the already assigned pairs of vehicle and driver to orders.
item: Conference-Abstract
Scheduling methodology to minimize random customer arrival
Kothalawala, KDHA; Samarasekera, NA
The main problem addressed by the research is random arrival of customers to pick goods at a product distribution center. Using a Case Study approach, a methodology is developed for scheduling of customer arrivals as a solution. Initially the problem is studied in detail. A survey was carried out to study the current customer behavior of the selected product distribution center. Using the findings of the survey and the literature review, different scheduling solutions are generated. Three most viable solutions are selected and then those three solutions are evaluated in financial, operational and change management aspects to find the best solution. A simulation is also done for customer arrivals to quantify the impact of implementing the scheduling system. The findings of the research clearly indicate the feasibility and the customer service improvements derived by customer scheduling. The customer waiting times and the idling of the distribution point assets can be significantly reduced by the developed scheduling system. Customers’ perception of the waiting time can be reduced by providing waiting information of customers prior to their arrival.
item: Conference-Extended-Abstract
A study on environmental sustainability policies in the road freight transportation industry in Sri Lanka
(Sri Lanka Society for Transport and Logistics, 2016-06) Ekanayake, EMDH; Samarasekera, NA; Gunaruwan, TL
item: Conference-Extended-Abstract
Use of information & communication technology applications in supply chain management: the case of small and medium scale manufacturing enterprises in Sri Lanka
(Sri Lanka Society for Transport and Logistics, 2016-06) Sudusinghe, JI; Samarasekera, NA; Gunaruwan, TL