Hierarchical forest management with anticipation: an application to tactical–operational planning integration

2008 ◽  
Vol 38 (8) ◽  
pp. 2198-2211 ◽  
Author(s):  
D. Beaudoin ◽  
J.-M. Frayret ◽  
L. LeBel
Keyword(s):  
Capacity Planning ◽  
Planning Process ◽  
Historical Data ◽  
Specific Problem ◽  
Hierarchical Modeling ◽  
Tactical Planning ◽  
Demand Forecast ◽  
Operational Level ◽  
Annual Capacity ◽  
Operational Impact

This paper examines the problem of harvest capacity planning at a tactical level. Annual capacity planning allows planners to determine the number of contractors to hire per period throughout the year and to define the duration of their contracts. In practice, this process usually involves the analysis of historical data regarding the operational use of capacity and aggregated demand forecast, the output of which then serves to plan harvest operations. Although this form of hierarchical planning reduces the complexity of the task, the decomposition into subproblems that must be successively resolved can lead to infeasibility or poor use of harvesting capacity. The specific problem addressed here resides in how one can consider the operational impact of harvesting decisions taken at the tactical level to ensure a plan’s feasibility at the operational level. We present a tactical planning process based on Schneeweiss’ generic hierarchical modeling approach. A computational experiment demonstrates how a tactical planning process is influenced by the input of the operational level anticipation model. The anticipation approach we propose appears to be a valid method to better integrate key operational-level decisions into tactical plans.

scholarly journals Tactical capacity planning in hospital departments

2019 ◽  
Vol 32 (1) ◽  
pp. 233-245
Author(s):  
Agneta Larsson ◽  
Anna Fredriksson
Keyword(s):  
Capacity Planning ◽  
Planning Process ◽  
Multiple Case Study ◽  
Tactical Planning ◽  
Content Type ◽  
Essential Components ◽  
Multiple Case ◽  
Planning Processes ◽  
Context Specific

Purpose The purpose of this paper is to explore tactical planning potential within hospital departments. The study had two objectives: first, to develop a framework for tactical capacity planning in healthcare departments by identifying and structuring essential components for healthcare capacity management; and, second, to identify context-specific requirements and functionality demands on tactical planning processes within healthcare. Design/methodology/approach A framework for tactical capacity planning was developed through a literature review. Additionally, an exploratory multiple-case study was performed, with cases from three Swedish hospital departments, which provide the opportunity to study framework applicability in its natural context. Findings Findings illustrate how an active tactical planning process can facilitate adjustments to capacity. However, the multiple-case study shows that there are contextual differences between departments, depending on available treatments and resources that affect capacity adjustments, and how the planning process activities should be structured. Originality/value This project develops a framework for a tactical capacity-planning process adapted to healthcare provider contexts. By developing the framework, based on the literature and tactical level planning processes within three Swedish hospital case studies, the authors bridge gaps between theory and application regarding healthcare capacity planning.

scholarly journals Assessing the operational impact of tactical planning models for bike-sharing redistribution

2021 ◽  
Vol 150 ◽  
pp. 216-235
Author(s):  
Bruno Albert Neumann-Saavedra ◽  
Dirk Christian Mattfeld ◽  
Mike Hewitt
Keyword(s):  
Tactical Planning ◽  
Planning Models ◽  
Bike Sharing ◽  
Operational Impact

scholarly journals Forecasting telecommunication new service demand by analogy method and combined forecast

2005 ◽  
Vol 15 (1) ◽  
pp. 97-107 ◽  
Author(s):  
Feng-Jenq Lin
Keyword(s):  
Planning Process ◽  
Historical Data ◽  
Optimal Investment ◽  
Telecommunication Industry ◽  
Market Demand ◽  
Analogy Method ◽  
Service Demand ◽  
Forecast Field

In the modeling forecast field, we are usually faced with the more difficult problems of forecasting market demand for a new service or product. A new service or product is defined as that there is absence of historical data in this new market. We hardly use models to execute the forecasting work directly. In the Taiwan telecommunication industry, after liberalization in 1996, there are many new services opened continually. For optimal investment, it is necessary that the operators, who have been granted the concessions and licenses, forecast this new service within their planning process. Though there are some methods to solve or avoid this predicament, in this paper, we will propose one forecasting procedure that integrates the concept of analogy method and the idea of combined forecast to generate new service forecast. In view of the above, the first half of this paper describes the procedure of analogy method and the approach of combined forecast, and the second half provides the case of forecasting low-tier phone demand in Taiwan to illustrate this procedure's feasibility.

Applying Discrete Event Simulation (DES) in Healthcare

2015 ◽  
pp. 390-410
Author(s):  
Stavros T. Ponis ◽  
Angelos Delis ◽  
Sotiris P. Gayialis ◽  
Panagiotis Kasimatis ◽  
Joseph Tan
Keyword(s):  
Discrete Event Simulation ◽  
Capacity Planning ◽  
Planning Process ◽  
Discrete Event ◽  
Healthcare Facilities ◽  
Performance Improvements ◽  
Event Simulation ◽  
Health Insurance Provider ◽  
And Performance

This paper highlights the opportunities and challenges of applying Discrete Event Simulation (DES) to support capacity planning of a network of outpatient facilities. Despite an abundance of studies using simulation techniques to examine the operation and performance of outpatient clinics, the problem of capacity allocation and planning of medical services within a network of outpatient healthcare facilities appears to be underexplored. Here, a case study of a health insurance provider that operates a network of six outpatient medical facilities in the US is used to illustrate and explore the synthesizing and adaptive, yet parsimonious nature of using DES methodology for network design and capacity planning. Results of this case study demonstrate that significant performance improvements for the network operator can be achieved with applying DES method to support the network facility capacity planning process.

A Simulation-Based Analysis of Electricity Access in Uganda

2015 ◽  
Vol 4 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Donna Lillian Namujju ◽  
Gönenç Yücel ◽  
Erik Pruyt ◽  
Richard Okou
Keyword(s):  
Power Supply ◽  
Capacity Planning ◽  
Planning Process ◽  
Supply And Demand ◽  
Dynamics Simulation ◽  
Power Sector ◽  
Model Simulations ◽  
Root Cause ◽  
Simulation Based ◽  
Electricity Access

Access to power is tied to a country's development. It facilitates improved social welfare, education, health and income generating opportunities. Uganda's economy is stifled by its low electrification rates - 16% nationally. This study builds a working theory on the internal setup of Uganda's power sector utilizing this theory to surface influential behavior modes as they pertain to power generation and supply and how these ultimately affect electricity access. Based on this working theory a System Dynamics simulation model is built. The model simulations show how Uganda's power sector is expected to evolve over 80 years in terms of power supply and demand given existing market structure and prevailing conditions. The study finds major problems in the nature of power accessed specifically an insufficient and unreliable power supply. The root cause is found in the nature of the existing capacity planning process in terms of how future capacity requirements are determined and the agreements made with generators as to how and when they fulfill their investment obligations.

scholarly journals COVID-19 Models for Hospital Surge Capacity Planning: A Systematic Review

2020 ◽  
pp. 1-8
Author(s):  
Michael G. Klein ◽  
Carolynn J. Cheng ◽  
Evonne Lii ◽  
Keying Mao ◽  
Hamza Mesbahi ◽  
...  
Keyword(s):  
Capacity Planning ◽  
Planning Process ◽  
Patient Flow ◽  
Hospital Administrators ◽  
Hospital Capacity ◽  
Governmental Agencies ◽  
Patient Pathways ◽  
Meta Analyses ◽  
Google Search ◽  
Second Wave

ABSTRACT Objective: Health system preparedness for coronavirus disease (COVID-19) includes projecting the number and timing of cases requiring various types of treatment. Several tools were developed to assist in this planning process. This review highlights models that project both caseload and hospital capacity requirements over time. Methods: We systematically reviewed the medical and engineering literature according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We completed searches using PubMed, EMBASE, ISI Web of Science, Google Scholar, and the Google search engine. Results: The search strategy identified 690 articles. For a detailed review, we selected 6 models that met our predefined criteria. Half of the models did not include age-stratified parameters, and only 1 included the option to represent a second wave. Hospital patient flow was simplified in all models; however, some considered more complex patient pathways. One model included fatality ratios with length of stay (LOS) adjustments for survivors versus those who die, and accommodated different LOS for critical care patients with or without a ventilator. Conclusion: The results of our study provide information to physicians, hospital administrators, emergency response personnel, and governmental agencies on available models for preparing scenario-based plans for responding to the COVID-19 or similar type of outbreak.

A demand forecasting model based on the improved Bass model for fast fashion clothing

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaoxi Zhou ◽  
Jianfei Meng ◽  
Guosheng Wang ◽  
Qin Xiaoxuan
Keyword(s):  
Historical Data ◽  
Consumer Preferences ◽  
Demand Forecasting ◽  
Impact Factors ◽  
Bass Model ◽  
Demand Forecast ◽  
Fast Fashion ◽  
Content Type ◽  
Sales Data ◽  
Demand Forecasting Model

PurposeThis paper examines the problem of lack of historical data and inadequate consideration of factors influencing demand in the forecasting of demand for fast fashion clothing and proposes an improved Bass model for the forecasting of such a demand and the demand for new clothing products.Design/methodology/approachFrom the perspective of how to solve the lack of data and improve the precision of the clothing demand forecast, this paper studies the measurement of clothing similarity and the addition of demand impact factors. Using the fuzzy clustering–rough set method, the degree of resemblance of clothing is determined, which provides a basis for the scientific utilisation of historical data of similar clothing to forecast the demand for new clothing. Besides, combining the influence of consumer preferences and seasonality on demand forecasting, an improved Bass model for a fast fashion clothing demand forecast is proposed. Finally, with a forecasting example of demand for clothing, this study also tests the validity of the method.FindingsThe objective measurement method of clothing similarity in this paper solves the problem of the difficult forecasting of demand for fast fashion clothing due to a lack of sales data at the preliminary stage of the clothing launch. The improved Bass model combines, comprehensively, consumer preferences and seasonality and enhances the forecast precision of demand for fast fashion clothing.Originality/valueThe paper puts forward a scientific, quantitative method for the forecasting of new clothing products using historical sales data of similar clothing, thus solving the problem of lack of sales data of the fashion.

Strategic Capacity Planning Process for Intercity Passenger Rail

2010 ◽  
Author(s):  
Yung-Cheng Rex Lai ◽  
Mei-Cheng Shih
Keyword(s):  
Capacity Planning ◽  
Planning Process ◽  
Capital Investments ◽  
Railway Transportation ◽  
Investment Plan ◽  
Passenger Rail ◽  
Optimal Network ◽  
Network Investment ◽  
Railway System ◽  
Potential Use

The demand for railway transportation is expected to be significantly increased worldwide; hence railway agencies are looking for better tools to allocate their capital investments on capacity planning in the best possible way. We presented a capacity planning process to help planners enumerate possible expansion options and determine the optimal network investment plan to meet the future demand. This process was applied to the conventional railway system in Taiwan to demonstrate its potential use. Using this capacity planning process will help railway agencies maximize their return from capacity expansion projects and thus be better able to provide reliable service to their customers, and return on shareholder investment.

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