Determination of Service Priority Areas as an Effort to Increase Urban Solid Waste Service Coverage (Case study Ngawi Regency)

Limited budget and infrastructure require that a selection be made, which areas prioritize solid waste services. The priority of waste services is determined based on the results of the assessment of the interest scale matrix of the service area. Regions with the highest matrix scores receive priority, followed by sites with lower scores. This study aims to determine the importance of increasing the solid waste service area in Ngawi district, with 19 sub-districts. The results showed that the Ngawi sub-district, as the district capital, Ngawi sub-district was the priority to improve solid waste services, followed by Kedunggalar, Karangjati, Mantingan, and Padas sub-districts.

Service Priority Climate and Service Performance Among Hospitality Employees: The Role of Emotional Labor and Workload Pressure

Frontline hotel employees face a complex organizational environment that constantly makes multiple demands, creating a persistent trade-off between service as a key element of the organization’s strategy and other competing or even conflicting goals. This study proposes an integrated and unique way of discerning the relationship between service climate and service performance through the prism of surface and deep acting emotional labor and suggests a new dimension of the service climate—the service priority climate. Specifically, we examined employees’ use of emotional labor strategies as a mechanism that explains the relationship between service priority climate and service performance. We also investigated whether workload pressure influences this relationship. Using a multilevel, multisource study, we surveyed a sample of 245 hotel employees working in 39 departments and their direct managers. The results demonstrated that when employees regarded service as a priority compared with other competing goals, they used more deep acting emotional labor strategies, resulting in better service performance. However, this was apparent only when workload pressure was low. Implications for hospitality organizations are discussed.

Integration of CSI, Airqual, IPA, and PGCV to Determine Prioritisation of Service Quality on JTA Airlines

The quality of service on low-cost airlines is something that is often questioned by passengers. The purpose of this study is to identify and determine service priority factors to improve service quality on JTA Airlines using the integration of the CSI, AIRQUAL, IPA, and PGCV methods. The results obtained are the level of customer satisfaction at 65.5% and there is still a difference (gap) between expectations and experience. Priority factors are the departure and arrival of aircraft on time, fast and appropriate handling of flight delays, clear compensation procedures, clear and easy-to-understand customer service complaint information, staff and cabin crew more responsive in handling customer complaints, always ready to provide maximum service to passengers, and pay more attention to the age of the aircraft.

An Efficient Procedure for Inserting Buffers to Generate Robust Berth Plans in Container Terminals

Uncertainty is an inevitable aspect of seaside operations in container terminals. Operators therefore need to find robust plans that can resist the impact of uncertainties. Instead of solving a stochastic berth allocation problem, this paper proposes an efficient procedure for inserting buffers into baseline berth plans to strengthen the schedule stability. Such a method is highly versatile and compatible with various solutions to berth allocation problem with different objectives. Numerical results obtained by using simulation on a representative set of instances of the problem are reported; these indicate that the proposed procedure not only increases the flexibility of operations with minor loss of resource utilization but also addresses the impact of service priority. Hence, the contribution in this paper will provide a short path that bridges the gap between berth allocation problem in deterministic and stochastic circumstances.

A Dynamic TDMA Scheduling Strategy for MANETs Based on Service Priority

Physical resource allocation strategy is a key factor affecting the performance of a mobile ad hoc network (MANET), which serves as a network model widely used in the sensor and detection field. For various perceived service information, it is significant for the allocation strategy to adapt to the dynamic service requirements and prioritize resource access for the service information with high priority to guarantee its real-time performance. In this paper, a novel dynamic time division multiple access (TDMA) scheduling strategy is proposed for MANETs. Firstly, a service priority-based dynamic TDMA scheduling (SP-DS) algorithm is presented, which introduces the service priority as a reference factor for slot allocation and fully considers the transmission throughput and end-to-end delay performance. Moreover, for improving the slot use of the whole system, a modified distributed color constraint heuristic (MD-CCH) scheme is presented to optimize the frame structure. The SP-DS and MD-CCH algorithms are combined to form the novel strategy. Simulation results have demonstrated that the proposed strategy has better performance in the slot use, slot allocation efficiency, end-to-end delay and transmission throughput compared with the existing slot allocation algorithms.

A Blockchain Prediction Model on Time, Value, and Purchase Based on Markov Chain and Queuing Theory in Stock Trade

With the continuous development of the blockchain, it has brought a subversive impact on the blossom of all fields with its characteristics of decentralization, trust-free, and tampering, especially in the financial field. It is of great significance to research the application of blockchain technology in the financial field. As an important part of the financial market, stock has the crucial influence, and the combination of stock and blockchain is becoming a growing trend. In recent years, many studies have focused on the prediction of the stock value, but they have not fully considered the combination of time, value, and purchase. To solve the above problem, we propose a preemption queuing model for multipriority service objects in the blockchain financial architecture according to different service priority. Meanwhile, a queuing-based resource scheduling model is established by using the Markov chain to find the optimal solution. The method in this paper can greatly improve the efficiency of the system and provide a basis for future scientific research in the healthy and sustainable development of the securities industry.