Short-range Planning Research Articles

Relationship of Time Planning with Post-Graduate Level Students' Anxiety

The study investigated the correlation between time planning and anxiety levels among postgraduate students during research work. A descriptive survey method was used to obtain data from 200 postgraduate students both males and females from six public and six private universities. The findings showed that most students had strong time planning skills and moderate anxiety levels, whereas there was a significant positive weak correlation between short-range and long-range planning of time with anxiety levels. In addition, there were no significant gender differences in time planning or anxiety levels. The findings highlighted the importance of flexible time planning practices in reducing anxiety among postgraduate students.

Planning and Organizational Development: A PPMC Approach

The purpose of the study was to examine the relationship between planning and organizational development. A study of First City Monument Bank in Calabar Metropolis. The objectives were; to examine the relationship between long range planning and organizational development, to examine the relationship between intermediate planning and organizational development and to determine the relationship between short range planning and organizational development. Desk survey method was used in gathering relevant information on organizational planning and development. The study adopted Pearson product moment correlation statistical tool to examine the relationship between independent and dependent variables. Based on the analysis, the findings revealed that long range planning had a significant relationship on organizational development. Also shown that, intermediate planning and short range planning had a significant relationship on organizational development. The study recommended that policies should be disseminated down the line of management. There is an urgent need for all corporate management units to develop a policy that will be non-ambiguous, set out clear targets with well-defined objectives.

Long-Range Risk-Aware Path Planning for Autonomous Ships in Complex and Dynamic Environments

Abstract Path planning and collision avoidance are common problems for researchers in vehicle and robotics engineering design. In the case of autonomous ships, the navigation is guided by the regulations for preventing collisions at sea (COLREGs). However, COLREGs do not provide specific guidance for collision avoidance, especially for multi-ship encounters, which is a challenging task even for humans. In short-range path planning and collision avoidance problems, the motion of target ships is often considered as moving at a constant velocity and direction, which cannot be assumed in long-range planning and complex environments. The research challenge here is how to factor in the uncertainty of the motion of the target ships when making long-range path plans. In this paper, we introduce a long-range path planning algorithm for autonomous ships navigating in complex and dynamic environments to reduce the risk of encountering other ships during future motion. Based on the information on the position, speed over ground, and course over ground of other ships, our algorithm can estimate their intentions and future motions based on the probabilistic roadmap algorithm and use a risk-aware A* algorithm to find the optimal path that has low accumulated risk of encountering other ships. A case study is carried out on real automatic identification systems (AIS) datasets. The result shows that our algorithm can help reduce multi-ship encounters in long-term path planning.

The Association Between Learning Styles, Time Management Skills and Pharmacology Academic Performance Among First Year Medical Students in Universiti Putra Malaysia (UPM) During the COVID-19 Pandemic

Introduction: The scientific understanding gained from pharmacology investigations is used to support a wide range of medical therapies. As a result, pharmacology is essential in medicine. As a result of the coronavirus epidemic, several colleges throughout the world have resorted to online pharmacology learning, which has an indirect impact on student academic progress. Aside from learning styles, a student’s time management abilities are another essential aspect that affects their academic success. Methods: This is a cross-sectional study that employed a questionnaire to assess first-year medical students from Universiti Putra Malaysia’s Faculty of Medicine and Health Sciences’ learning style and time management skills. A series of pharmacological questions involving short answer questions was also given to the students to assess their pharmacology performance. Results: There was a significant weak negative correlation between superficial learning style and pharmacology performance (r=-0.272, p<.05). There was also a significant weak correlation between deep learning style and long range planning (r=0.256, p<.05) and including short range planning (r=0.263, p<0.5). Lastly, significant weak negative correlation on pharmacology performance and long range planning was seen (r=0.256, p<.05). However, there was no significant correlation between time management and pharmacology performance. Conclusion: Students that use a superficial learning style struggle in school, yet deep learning styles in both short and long term planning do not always increase pharmacology performance. A good time management skills does not guarantee a good pharmacology performance either. Other relevant factors, like as socio-demographic characteristics, that may contribute to this outcome, particularly during this epidemic, should be investigated further.

Exploring the Interrelation between Time Management and Academic Achievement among University Students

Time management plays a very important role in personal and professional life. Several studies have demonstrated that judicious use of time positively affects academic performance. This study was carried out to assess the relationship between time management and academic achievement of the students of Sylhet Agricultural University. Moreover, the study aimed to know if there was any gender difference in time management. Based on the literature review on time management, survey research has been identified as the most prominent design to study time management. The time management questionnaire developed by Britton and Tesser was used as a study tool for its reliability and validity. A total of 187 students were selected from Sylhet Agricultural University as respondents for the study. Data were analyzed using descriptive statistics, t-test, and ANOVA. The results of this study do not suggest a significant relationship between time management and academic achievement. However, females manage time better than males in short-range and long-range planning.

INVESTIGATING THE CORRELATION BETWEEN TIME MANAGEMENT AND ACCOMPLISHING THE HIGHEST HONOR OF ACADEMIC ACHIEVEMENT IN PMPBI UNJ THE CLASS OF 2019 STUDENTS

Time management is essential, and it may affect an individual's overall performance and achievements. Research has shown that all the time management behaviors are positively related to academic achievement. This study aims to measure the level of time management possessed by PMPBI UNJ the year of 2019 students and find out the correlation between the level of time management and the success of achieving a Summa Cum Laude honorary degree. The primary data collection for this study is through an online questionnaire survey. Data were analyzed using descriptive statistics, and the presentations were made in tables and figures to some extent. The result shows that 55% of the participants possess a moderate level time management score, while 45% of the participants possess high-level time management scores. No participants have a low-level time management score. Furthermore, the result also reveals that the level of time management (High or Moderate Level) correlates with the success of achieving a Summa Cum Laude honorary degree for students of the PMPBI UNJ class of 2019. Lastly, the results also show that Short-Range planning, and Time Attitudes, each variable correlates with the success of achieving a Summa Cum Laude honorary degree. However, the results show that Long-Range planning does not correlate with the success of achieving a Summa Cum Laude honorary degree. Keywords : time management level, short-range, time attitude, long-range, students’ achievement, Summa Cum Laude.

Time management among undergraduate medical students: A study from a tertiary health-care teaching institution in Puducherry

Background: Time is a nonrenewable resource and effective time management is the key to better academic performance. Objective: To assess the time management skills of undergraduate medical students of a tertiary care health instituMethodology: This cross-sectional study was conducted among 243 undergraduate medical students of a tertiary healthcare institution in Puducherry. The time management skill was assessed using a time management questionnaire (TMQ) which has 18 items in 5-point Likert scales. A score of ≥58 on TMQ was considered as good time management skill. Results: The mean (standard deviation) of the TMQ score was 52.7 (9.8) overall, and 18.2 (5.8), 19.4, (3.5) and 15.1 (3.4), respectively in short-range planning, time attitude, and long-range planning domains. More than two-third of the students were found to have poor to average time management skills. Students with high readiness for self-directed learning were found to have significantly higher TMQ score [55.7(9.9) Vs 50.1 (8.9), P=0.000]. Conclusion: Majority of the students possess poor to average time management skills. Further study relating time management with academic performance may be conducted and counseling/workshops should be organized for students to improve their time management skills.

Exploring the impact of IS function maturity and IS planning process on IS planning success: an ACE analysis

ABSTRACTWe examine the impact of information system (IS) function maturity and IS planning process on IS planning success in an exploratory approach. We conducted non-linear regression analysis using the Alternating Conditional Expectations algorithm, and found significant non-linear relationships between the dimensions of IS function maturity/IS planning process and those of IS planning success. We also visualised how various IS planning success measures can evolve with low or high values of determinant variables. We used four dimensions of capabilities, analysis, cooperation, and alignment to evaluate IS planning success. We also employed four dimensions to analyse each of IS function maturity and IS planning process. IS function maturity consists of IT planning mode, IT integration, IT industry practice, and IT perspective. On the other hand, IS planning process is composed of long-range planning, medium-range managerial planning, short-range operational planning, and organisational IT potential.

Evaluation of new marketing strategy of selected home appliances

Strategy generally known as a coherent set of actions aimed at gaining a sustainable advantage over competition improving position vis-a-vis customers or allocating resources. Tactical planning refers to short-range planning that is oriented towards operations and is concerned with specific and short-range details. Strategy, includes the determination and evaluation of alternatives paths to an already established mission or objectives and eventually choice of the alternatives to be adopted. Poke Strategy, includes the four ingredients such as Price, offers, brand, competitive marketing strategies. The struggle for existence and growth is indeed very hard for firms in a competitive environment. The new strategy (poke) will help the enterprise to cope up with the market competition. Tow matrix prove the existence of the new marketing strategy poke.

A study on university student’s time management and academic achievement

Background: Time management is a skill that perhaps impacts the students’ academic achievement. The objective of the study is to study the time management skill and perceived academic achievements among university students.Methods: A cross sectional study was done among medical students studying in one of the private medical colleges of Odisha. Time management questionnaire developed by Britton and Tesser was used as a study tool. It includes 18 questions distributed in 3 dimensions: short-range planning, time attitudes and long-range planning. All the questions were value based on the Likert scale of five value scores. Data was analyzed using descriptive statistics. Means of various dimensions were compared.Results: 51.90% of the participants possessed moderate to low level time management score. Participants who obtained higher percentages of mark (70-80%) also had high mean score on general time management.24.1% of the participants never write a set of goals for their self for each day and 21.5% never spend time for each day planning. Whereas 48% always keep their desk clear of everything other than what they are working on it, 40.5% sometimes review their class notes, even when a test is not imminent, 37.9% sometimes make a schedule of the activities that they have to do on work days and 37.9% sometimes make constructive use of their time.Conclusions: To improve academic performance, students are in need of IEC programs in relation to time management.

Academic Achievement: It Is Not How Smart You Are, But How You Cope With Your Life And Manage Your Time

Previous research suggests that contributing factors such as previous academic result, coping and time management can predict student success at the universities. The purpose of this study was to investigate the relationship between previous academic grades, coping and time management practices on academic achievement among undergraduate students from four of Malaysia public institutions for higher education. 551 university students completed a Time Management Questionnaire (TMQ), COPE Inventory and provided their self-reported high school grades and current Grade Point Average (GPA). Analysis of data from descriptive and inferential statistics was done. Results showed that previous academic grades and the practice of time management (short range planning and attitude toward time) have no direct effect on academic achievement. However, the use of coping strategies (problem focused and denial focused) and the practice of time management (long range planning) showed that there was a significant effect on Grade Point Average (GPA).

Planning for growth in a natural resource boomtown: challenges for urban planners in Fort McMurray, Alberta

Between 2000 and 2010, the population of the city of Fort McMurray, Alberta increased by 80%, mainly due to the expansion of oil extraction projects and subsidiary industries. Population growth of this magnitude has significant consequences for city planning. While Fort McMurray struggles to keep up with enormous numbers of in-migrants, the cost of living in the city has skyrocketed. Using interviews with city planners and field experience in the city, in this paper I examine the current challenges faced by urban planners in Fort McMurray against the backdrop of global economic decision-making, corporate influence, and commodity dynamics. While the recession of 2008 gave city planners some breathing room, they still struggle with gathering accurate census information and predicting population growth, providing affordable housing, and balancing short-range planning with their long-term goals. Attempts by city planners to address these challenges could provide a contemporary model for urban planning in rapidly growing, resource-dependent communities.

Time Management and its Impact among Medical Laboratory Science Students’ Academic Performance and Engagement

Various researches have shown student engagement and academic performance as important predictors to educational success. This paper focused on determining the impact of time management factor on academic performance and engagement. Using frequency, chi-square, correlation and regression analysis, the relationship and effect of time management to student engagement and academic performance were examined among 102 regular junior Medical Laboratory Science students of Liceo de Cagayan University for the first semester of school year 2014-2015. The results revealed that in terms of time management, only a little more than half of the student-respondents feel they are in-charge of their time and sixty percent have good planning skills whether short-range or long-range planning. The results further revealed that student engagement, not academic performance, figured out prominently as the variable that bear on time management of the students. These findings support the need for review of procedures and structures of the College or the University in motivating students towards behavioral, cognitive and social engagement. Keywords: Time management, student engagement, academic performance, medical laboratory science

TRANSIMS Implementation for a Small Network and Comparison with Enhanced Four-Step Model

Travel demand forecasting is a major tool to assist decision makers in transportation planning. While the conventional four-step trip-based approach is the dominant method to perform travel demand analysis, behavioral advances have been made in the past decade. This paper proposes and applies an enhancemnt to the four-step travel demand analysis model called Sub-TAZ. Furthermore, as an initial step toward activity-based models, a TRANSIMS Track-1 approach is implemented utilizing a detailed network developed in Sub-TAZ approach. The conventional four-step, Sub-TAZ, and TRANSIMS models were estimated in a small case study for Fort Meade, Maryland, with zonal trip tables. The models were calibrated and validated for the base year (2005), and the forecasted results for the year (2010) were compared to actual ground counts of traffic volume and speed. The study evaluated the forecasting ability of TRANSIMS versus the conventional and enhanced four-step models and provided critical observations concerning strategies for the further implementation of TRANSIMS.BACKGROUND Traffic pattern prediction is necessary for infrastructure improvement, and travel demand modeling provides tools to forecast travel patterns under various conditions. This modeling involves a series of mathematical equations that represent how people make travel choices. Traditional travel demand models use the four-step method, which was introduced in the 1950s and has been used widely in transportation planning. Although the four-step method has been practical in producing aggregate forecasts, it has some shortcomings. For example, in short-range planning networks, existing and newly constructed roads become congested much faster than forecasted (TRB 2007) and the performance of current four-step models is not always satisfactory. Additionally, these models are not behavioral in nature and as a result they are unable to represent the time chosen for travel, travelers’ responses to demand policies (e.g., toll roads, road pricing, and transit vouchers), non-motorized

Value-Driven River Management: A Murray River Case Study

This paper outlines a quasi-economic hydrological model and management paradigm geared toward public and not-for-profit regulatory bodies, with particular reference to the southern Murray-Darling Basin in southeast Australia. This value-oriented model and paradigm bridges the gap between short-range hydrological forecasting and long-range economic planning. Decision-making is assisted by a scenario-based methodology with a clear distinction between baseline and marginal quantities. The paradigm has applications to seasonal planning, commercial water trading, environmental stewardship and structural adjustment. Specific applications to the Murray-Darling Basin include (i) evaluation of options for infrastructure upgrades and licence buybacks intended to address resource over-allocation, and (ii) revival and rationalisation of hydrological exchange rates for temporary and permanent water trades, with the aim of rigorously accounting for third-party effects.

Value-driven river management: A Murray River case study

This paper outlines a quasi-economic hydrological model and management paradigm geared toward public and not-for-profit regulatory bodies, with particular reference to the southern Murray-Darling Basin in southeast Australia. This value-oriented model and paradigm bridges the gap between short-range hydrological forecasting and long-range economic planning. Decision-making is assisted by a scenario-based methodology with a clear distinction between baseline and marginal quantities. The paradigm has applications to seasonal planning, commercial water trading, environmental stewardship and structural adjustment. Specific applications to the Murray-Darling Basin include (i) evaluation of options for infrastructure upgrades and licence buybacks intended to address resource over-allocation, and (ii) revival and rationalisation of hydrological exchange rates for temporary and permanent water trades, with the aim of rigorously accounting for third-party effects.

Solving an aggregate production planning problem by using multi-objective genetic algorithm (MOGA) approach

: Received 5 September 2012 Received in revised format 25 September 2012 Accepted September 27 2012 Available online 27 September 2012 In hierarchical production planning system, Aggregate Production Planning (APP) falls between the broad decisions of long-range planning and the highly specific and detailed short-range planning decisions. This study develops an interactive Multi-Objective Genetic Algorithm (MOGA) approach for solving the multi-product, multi-period aggregate production planning (APP) with forecasted demand, related operating costs, and capacity. The proposed approach attempts to minimize total costs with reference to inventory levels, labor levels, overtime, subcontracting and backordering levels, and labor, machine and warehouse capacity. Here several genetic algorithm parameters are considered for solving NP-hard problem (APP problem) and their relative comparisons are focused to choose the most auspicious combination for solving multiple objective problems. An industrial case demonstrates the feasibility of applying the proposed approach to real APP decision problems. Consequently, the proposed MOGA approach yields an efficient APP compromise solution for large-scale problems.

Carbon Credit Eligibility under Area Regulation of Harvest Levels in Northern Minnesota

Abstract We evaluated the implications of area regulation of harvest on eligible carbon under both the Voluntary Carbon Standard (VCS) and the Chicago Climate Exchange (CCX) for public forest lands in north central Minnesota (89,840 ha total). We used data from the carbon submodel of the US Forest Service Forest Vegetation Simulator (Lake States variant) to evaluate changes in forest carbon stocks under different management scenarios. Baseline harvest intensity was defined by considering the manager's short-range tactical plans and the distribution of harvests by cover type and intensity class then became the “business as usual” (BAU) for use in the calculation of eligible carbon under the VCS and CCX. Under VCS, the most effective way to increase carbon stocks while meeting other management objectives was to shift harvest practices to lower intensity entries and retain higher residual basal areas. The carbon stock change rates for each manager varied significantly under the BAU scenario and resulted in a mean annual net decrease. Because CCX carbon credit eligibility requires a net increase of carbon stocking from the base year, area regulation may create periods of time where there is no eligible carbon volume. An alternate management strategy that uses the area regulation method, reduces harvest intensity, and decreases overall acreage harvested was able to provide higher postharvest carbon stocks versus the BAU scenario under VCS.

Implementing a blending optimization model for short-range production planning of cement quarry operation

An application of the linear programming based blending optimization model for short-range production planning of the cement raw materials is presented. The benefits of the model are established through a case study of an existing cement manufacturing operation in the northern part of Pakistan. A successful model implementation has ensured significant cost savings, reduced employee time for preparing schedules, a sustained supply of raw materials, and better coordination and engineering control among various divisions of the operation as compared to schedules produced manually.

Neighborhood spillover effects between rezoning and housing price

The objective of this research was to investigate neighborhood spillover effects between rezoning of vacant parcels and housing price in the Knoxville, TN area. The study is unique in that it correctly highlights the need to analyze the dynamics of zoning structure and accommodates the neighborhood spillover effects associated with the real estate market. Results indicate that the probability of rezoning vacant land is expected to increase as housing price in a neighboring location increases. The rise in the housing price in a neighboring location implies increasing pressure on housing demand. This increased pressure on housing demand likely contributes to greater demands for residential development and commercial development that complements residential use. Currently, the major guidelines for the approval of rezoning petitions, according to the planners in the Knoxville area, are consistency with long-and short-range land use plans adopted by state, municipality, and county governments, and consistency with surrounding land use and environmental constraints, e.g., slope, flooding, and drainage. Local planning authorities can modify and update consistency measures in the current guidelines by accounting for varying degrees of housing demand pressure. For example, consistency measures can be strengthened in areas with greater housing-price increases, if preservation is desirable because these areas are likely to experience greater rezoning pressure.