Analysis Of The Clean Water Service Capacity of The Regional Drinking Water Company (PDAM) In Cirebon Regency, Indonesia

The provision of clean water for the community is not optimal, so that the distribution of water is not evenly distributed. The distribution network of PDAM Tirta Jati serves Taman Tukmudal Indah Housing, Sumber District, which is supplied from Cigusti springs with a gravity drainage system, currently reaching 1,037 units of house connections. Geographic Information Systems visualize spatial data related to positions on the earth’s surface. Analysis of Clean Water Service Capacity in the discussion of clean water quality that has been tested in the Bandung Institute of Technology laboratory. The samples tested for analysis showed that the clean air quality met the quality standards. The standard of clean water needs is 60 liters/person/day. Continuity shows that the clean air pressure is not in accordance with the minimum standards that have been determined because most of the air pressure is still low. The lowest air pressure = 1.00 meters, and the highest = 50 meters, the lowest average air pressure is at 22:00 and the highest is at 09:00. The minimum air pressure that must be met is 1.0 atm. This pattern is expected to maintain the quality, quantity, and continuity of clean water services.

Model Petri Net Sistem Pembayaran Pajak Kendaraan Bermotor Jenis 5 Tahun

Paying taxes is an example of public service. In the process of serving, the service is often synonymous with the queuing process. Queuing is a condition in which several people or objects from a waiting line to be served are generally caused by the need for services to exceed the service capacity or service facilities so that users of arriving facilities cannot immediately receive service. Therefore, overcoming many complaints due to queues can be done by improving services and maximizing time efficiency using the Petri net model. In this study, a Petri net model of the 5-year tax payment service system for a motor vehicle at SAMSAT Oku Timur 1 was made as many as 17 places, 15 transitions, two operators, and 30 arcs using WOPED 3.2.0 software.

Bad to All? A Novel Way to Analyze the Effects of Fee-for-Service on Multiple Grades Hospitals Operation Outcomes

It is a consensus that Fee-for-Service (FFS) is a traditional medical insurance payment scheme with significant disadvantages, namely the waste of health care resources. However, the majority of the prior works that draw such conclusions from the perspective of social welfare while analyzing the impacts of FFS on operation outcomes of hospitals still lack attention from the existing literature, considering the fact that the majority of public hospitals are self-founding. Under this motivation, we collected operation data of 301 public hospitals with different grades (grade II and III) in central China. Here, we present a novel statistical evaluation framework on the impact of FFS on hospital operation outcomes from four dimensions (financial income, efficiency, medical service capacity, and sustainability) using fixed-effects multivariate regression. With verification by the robustness test, our results indicate that: (i) The classification of the hospital (COH) significantly affected the impacts of FFS on hospitals’ operations. (ii) For grade III hospitals, FFS leads to higher financial income, medical service capacity (MSC) and longer length-of-stay (LOS). (iii) However, as for grade II hospitals, hospitals with FFS adoptions achieve lower financial income, lower MSC and shorter LOS, which violates the common sense from previous works. (iv) FFS has a significant negative impact on public hospital’s sustainable development; however, there is lack of evidence showing that sustainability would be affected by the interaction effects between FFS and COH. We believe these new findings from the perspective of hospital operation provide insights and could serve as a reference for the healthcare payment hierarchical reform by COH in low and middle-income countries (LMICs), which are going through the primary stage of the healthcare reform.

Equitable Vessel Traffic Scheduling in a Seaport

In the global maritime transportation network, the on-time performance of cargo transportation depends largely on the service capacity and accessibility of seaports. When opportunities for infrastructure expansions are not available, seaport congestion mitigation may require effective scheduling of the vessel traffic in the port waters. Although existing works on vessel traffic scheduling focus on minimizing vessel delays, this paper studies a novel vessel traffic scheduling problem that aims to address the inter-shipping line equity issue. We develop a lexicographic optimization model that accounts for two conflicting performance measures: efficiency, which favors minimizing total vessel delay; and equity, which favors balancing the impacts of delays fairly among shipping lines. Our model allows the port operator to quantify the efficiency-equity tradeoff and make the best vessel traffic scheduling decisions. For solving the model, we develop an effective two-stage solution method in which the first stage solves two single-objective models to obtain the maximum system efficiency and equity, whereas the second stage trades between efficiency and equity and seeks the best compromise between the two conflicting objectives. We apply our model and solution method on instances generated from the operational data of the Port of Shanghai. Our computational results show that an efficiency-oriented model can lead to highly inequitable traffic plans, whereas inter-shipping line equity can be achieved at only mild losses in efficiency, indicating that the consideration of inter-shipping line equity can lead to satisfactory service at both the vessel level and the shipping line level.

Probabilistic Set Covering Location Problem in Congested Networks

This paper focuses on designing a facility network, taking into account that the system may be congested. The objective is to minimize the overall fixed and service capacity costs, subject to the constraints that for any demand the disutility from travel and waiting times (measured as the weighted sum of the travel time from a demand to the facility serving that demand and the average waiting time at the facility) cannot exceed a predefined maximum allowed level (measured in units of time). We develop an analytical framework for the problem that determines the optimal set of facilities and assigns each facility a service rate (service capacity). In our setting, the consumers would like to maximize their utility (minimize their disutility) when choosing which facility to patronize. Therefore, the eventual choice of facilities is a user-equilibrium problem, where at equilibrium, consumers do not have any incentive to change their choices. The problem is formulated as a nonlinear mixed-integer program. We show how to linearize the nonlinear constraints and solve instead a mixed-integer linear problem, which can be solved efficiently.

Building back smarter—part two: practical considerations for the commissioning and delivery of modular facilities

The process of commissioning and planning a new building can be complex, requiring a combination of skills, expertise and motivation from several different stakeholders. The first article in this series on healthcare infrastructure made the case for more modular facilities in the NHS, to increase capacity and help services address the growing care backlog. This article, the second in a series of three, will discuss the process of commissioning a modular facility, drawing on two in-depth case studies to provide insight from healthcare managers who have successfully completed such a project. This includes exploration of the circumstances that led the trusts to consider a modular solution, the challenges they faced, how they overcame those challenges and the benefits they have observed in their services so far. A guide to the key considerations and recommendations for commissioning and planning a modular facility is also provided for trusts looking for ways to expand their service capacity.

Capacity of Zlatitsa Municipality (Western Bulgaria) to provide ecosystem services

The present research aims at estimating the capacity of the ecosystems in Zlatitsa Municipality to provide certain types of ecosystem services. The case study area is located in the western parts of Bulgaria, and it is a part of Sofia Province. The basis of the study is the CORINE Land Cover (CLC) classification (2018) upon which the Maes typology has been built. Fourteen (14) CLC Classes were distinguished in Zlatitsa Municipality, as well as five (5) ecosystem types. The capacity of the latter to provide ecosystem services was evaluated, based on a six-grade scale. The results of the study include maps of the provisioning, regulating, and cultural service capacity of the area, as well as an overall map of all of them. The research outcomes provided successful results, focusing on the importance of the provision of ecosystem services. They can be applied as a framework for similar studies in the neighboring municipalities.

The Energy Efficiency and the Main Influencing Factors for the Logistics Industry in the Yangtze River Economic Belt in China

Logistics is the booster of economic development, and it is imperative to further improve the logistics energy efficiency and adjust its development model. This paper is an attempt to investigate the logistics energy efficiency and main influencing factors of the Yangtze River Economic Belt, which is the most economically intensive region that spans East, Central, and West China. The input-oriented SBM-DEA model is employed to identify factors such as energy input, undesirable output, and service capacity output as well as the logistics energy efficiency of Yangtze River Economic Belt. Energy efficiency is then further decomposed into pure technical efficiency, scale efficiency, and technical efficiency, from the perspective of which provinces and cities are compared. The research results show that the logistics energy efficiency of Yangtze River Economic Belt needs to be further improved and that energy efficiency differs greatly among cities and provinces, indicating that the development is quite unbalanced in different areas. Therefore, the local government should develop development strategies according to the main influencing factors and constraints to the local logistics industry, so as to optimize and upgrade the energy structure of the logistics industry.