TRANSPORTATION ROUTE PLANNING WITH HEURISTIC ALGORITHM: A CASE STUDY OF A CONSTRUCTION MATERIALS COMPANY

Peerapong PAKAWANICH, Kamonchanok SAENGCHEAM — Fri, 24 Jan 2025 00:00:00 +0700

The objective of this research is to minimize the total distance from transportation for a case study of a construction materials company. The study focuses on 11 customers located in Bangkok and Samut Sakhon provinces. The transportation route starts from the company's distribution center, delivers goods to all customers, and then returns to the distribution center. Distances between locations are obtained using Google Maps, and the Nearest Neighbor Heuristic is applied for route optimization. The study reveals that the previous company's transportation route had a total distance of 113.3 kilometers. By applying the Nearest Neighbor Heuristic, the total transportation distance was reduced to 79.0 kilometers, a decrease of 34.3 kilometers or 30.28%.

FACTORS AFFECTING THE ACHIEVEMENT OF MOVEMENT GUIDELINES OF IMPLEMENTING DIGITAL LOCAL GOVERNANCE POLICY FOR INNOVATIVE PROMOTION OF PUBLIC SERVICE IN LOCAL ADMINISTRATIVE ORGANIZATION: CASE STUDIES OF THE CITY MUNICIPALITIES IN NONTHABURI PROVINCE

Noppon Akahat — Fri, 24 Jan 2025 00:00:00 +0700

This article was conducted to analyze the factors influencing the achievement of movement guidelines of implementing digital local governance policy for innovative promotion of public services in local administrative organizations. City municipalities in Nonthaburi Province were selected as a case study. The study used a quantitative approach. The population for this study consisted of 4,893 municipal employees working under the Nonthaburi City Municipality and Pak Kret City Municipality while a sample size comprised 400 people determined based on Taro Yamane's formula and selected by multi-stage sampling. A structured questionnaire was used as the research data collection tool, and collected data were analyzed using statistical software for stepwise multiple regression with a 95% confidence level. The findings revealed that the factors influencing the achievement of movement guidelines of implementing digital local governance policy for innovative promotion of public services in local administrative organizations of the city municipalities in Nonthaburi Province have a coefficient of determination or R² of 0.861. It means the five predictive variables in the regression model can predict 86.1% of the studied factors. Each influences the prediction of the following dependent variables: 1) organizational management (β = 0.283), 2) partnerships and participation (β = 0.237), 3) leadership and motivation (β = 0.204), 4) organizational policy (β = 0.172), and 5) work environment (β = 0.092).

Procedia of Multidisciplinary Research

TRANSPORTATION ROUTE PLANNING WITH HEURISTIC ALGORITHM: A CASE STUDY OF A CONSTRUCTION MATERIALS COMPANY

FACTORS AFFECTING THE ACHIEVEMENT OF MOVEMENT GUIDELINES OF IMPLEMENTING DIGITAL LOCAL GOVERNANCE POLICY FOR INNOVATIVE PROMOTION OF PUBLIC SERVICE IN LOCAL ADMINISTRATIVE ORGANIZATION: CASE STUDIES OF THE CITY MUNICIPALITIES IN NONTHABURI PROVINCE