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- A Handbook for Construction Planning and Scheduling | Wiley Online Books
- Andrew Baldwin, David Bordoli-Handbook for Construction Planning and Scheduling-Wiley (2014)
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Following a career in the civil engineering and construction industries that included planning and scheduling for a number of major construction projects, he commenced an academic career at Loughborough University, UK, where he is now Emeritus Professor in Construction Management. David Bordoli, BSc, MSc, FCIOB, MAPM, ACIArb, is an extremely experienced planning professional who began his career as a planning engineer with construction contractors then worked as a consultant, providing contractual advice, preparing time delay claims, reports for adjudications, arbitrations and litigation, and undertaking expert witness appointments in delay and disruption disputes in construction and engineering.
He is now a Director of Driver Trett and has recently spent most of his time working on overseas projects, particularly in South Africa. Show more Show less. New New. See all 5. No ratings or reviews yet. Best-selling in Non-Fiction Books See all. Save on Non-Fiction Books Trending price is based on prices over last 90 days.
You may also like. Paperback Textbooks. Paperback Atlases. Books for Children David Walliams. The authors include both basic concepts and updates on current topics demanding close attention from the construction industry, including planning for sustainability, waste, health and safety and Building Information Modelling BIM. The book is especially useful for early career practitioners - engineers, quantity surveyors, construction managers, project managers - who may already have a basic grounding in civil engineering, building and general construction but lack extensive planning and scheduling experience.
Students will find the website helpful with worked examples of the methods and calculations for typical construction projects plus other directed learning material.
A Handbook for Construction Planning and Scheduling | Wiley Online Books
This authoritative industry guide on good practice for planning and scheduling in construction is written in a direct, informative style with a clear presentation enabling easy access of the relevant information with a companion website providing additional resources and learning support material. Time chainage chartsMultiple activity charts; Line of balance; Line of balance resource scheduling; ADePT; Data flow diagrams; A generic model for detailed building design; Dependency structure matrix analysis; Producing project and departmental schedules; 4D CAD; Key points; Chapter 4 Planning and Scheduling Practices; Schedule design and structure; Level 1 schedule report; Level 2 schedule report; Level 3 schedule report; Level 4 schedule report; Level 5 schedule report; What is required on smaller projects?
Pre-tender planning, pre-contract planning, contract planningPre-contract planning; Contract planning; Activities: selection, sequencing and duration; Activity selection; Sequencing; Assessing the duration of each activity; Float and contingency; Total float; Free float; Interfering float; Independent float; Intermittent float; Negative float; Terminal float; Internal float; Contingency; Manipulation of float; Who owns the float?
Notes Includes bibliographical reference pages and index. Other Form Online version Baldwin, Andrew, Handbook for project planning and scheduling in construction. View online Borrow Buy Freely available Show 0 more links Set up My libraries How do I set up "My libraries"? Edith Cowan University Library. May not be open to the public Held. Not for ILL. University of Queensland Library. Open to the public ; Online: Not available for loan Book; Illustrated English Show 0 more libraries Many of the original users of Factory Scheduling tools continue to and cost minimizing plan to provide the required supply.
Andrew Baldwin, David Bordoli-Handbook for Construction Planning and Scheduling-Wiley (2014)
The result of this use the software in this fashion. This has historically resulted in vendors having Demand Planning, or Forecasting, is the traditional starting point for a company particular strengths in either Demand or Supply focused APS applications. These tools are used to developed unconstrained In recent years consolidation in the APS vendor market has resulted in most demand forecasts based on previous sales history and input from experts. However as a result of this historical divide, while many companies try to implement a full-suite of APS The Business Case for Demand Planning software from one vendor, it is not uncommon to choose Demand Planning software from a different vendor than the rest of the APS solution.
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The main business proposition of Demand Planning software is improved forecast accuracy. Improved forecast information translates into better decision making throughout the supply chain from high-level strategic planning and capital budgeting to facility-level staffing and capacity APS Module Detail: Network Optimization management.
Improvements in forecast accuracy translate into direct dollar As the name implies, Network Optimization tools seek to optimize savings in inventory and facility costs but also can lead to top line revenue performance across an entire supply chain network. Best-in-class companies use a combination of historical sales information Network Optimization Business Case and business expert guidance to develop a sales forecast.
To facilitate this The potential savings from the use Network Design software is enormous process, APS Demand Planning applications provide both an automatically — in some cases the payback period for a Network Design project can be a generated baseline forecast and a single repository where experts can modify matter of months. Demand Planning tools also unchanged, would have resulted in supply chain cost structures millions of facilitate the ability to measure forecast accuracy over time, which ultimately dollars more expensive than they needed.
Opening and closing facilities is helps drive improvement of forecast accuracy over time. Demand Planning tools are typically based on a relational database storing Network Optimization Software and Business historical sales information and other causal factors to be analyzed by the Processes: Integrated Scenario forecasting engine.
One of the most important decisions made in the design of In the scenario where integrated Network Optimization software is used, a Demand Planning system is what level of demand will be forecasted. While a company might use the tool to make decisions on sourcing and meeting data availability or other considerations sometimes dictate otherwise, the ideal seasonal demand. Sourcing decisions trade off plant, distribution center, and situation is that demand is forecasted at the lowest level possible — usually for transportation costs and capacities to determine which facility or facilities each SKU for each ship-to location for each customer.
This type of Network Design mod- and diced as needed are important design factor in Demand Planning el is useful for companies with large numbers of plants and distribution modeling. To achieve this, rules and hierarchies for aggregation must be holding inventory, adding more expensive surge manufacturing capacity, defined in the DP model. Statistical manufacturing. In this scenario the software will provide pre-build inventory laws dictate that aggregated forecasts will always be more accurate than targets to manage the buildup of seasonal inventories.
Given the cyclicality in demand that often exists over the course of a week, most companies use Network Optimization Software and Business weekly buckets for near-term planning. Processes: Stand-Alone Scenario Demand Planning Solution Methods Design decisions evaluated using a stand-alone Network Optimization models typically involve capital investment decisions related to Demand Planning tools almost exclusively use statistical methods including manufacturing or distribution capacity.
The advantage of these approaches versus manual forecasting techniques is For this type of decision, a Network Optimization tool allows the customer that they are able to analyze large sets of data very quickly to predict sales to evaluate the trade-off between investments in fixed assets and reduc- trends sustained increases or decreases in sales , seasonality variations tions in variable costs. These types of decisions are often called Network in sales based on the time of year , or cyclicality variations in sales based Rationalization or Capital Asset Management analysis.
The statistical methods also allow for outside causal factors that can influence a forecast, such as weather, to be modeled. For some, developing a master production schedule for manufacturing is the primary challenge and distribution is an af- Network Optimization tools typically model the entire supply chain and terthought. For others, sourcing distribution center demand to manufacturing include forecast information; product and facility information; manufacturing, facilities or choosing transportation modes is the highest priority.
A successful Supply models. While Integrated Network Optimization tools used to evaluate Planning implementation requires organizational and physical coordination detailed sourcing to customer locations and location-specific inventory builds across the different entities that manage the supply chain.
Given this, many sometimes model individual SKUs and customer locations, many models to companies use this implementation as the impetuous to make strategic evaluate strategic decisions use aggregated data. Aggregated data is used changes in the design and standard business processes of the supply chain because this a reduces the difficulty of adding new plants, distribution planning organization. While Supply Planning is probably the most difficult The optimization methods most often used to solve Network Optimization APS tool to implement, organizations that successfully do so have laid a strong models include linear and integer programming methods.
While methods foundation for best-in-class performance. In addition effectively manage routine operations while allowing a planner to focus to optimization-based methods, many software vendors also use proprietary on exceptional circumstances, problems solving, and identifying area for heuristics to complement optimization methods and improve solutions. In cases where capacity and inventory are available the software will automatically create a workable plan. However, when inventory, Other Network Design Considerations: capacity, or other resources are not available the software will provide alerts User Interface and Reporting that highlight problems and allow the planner to make intelligent trade-offs The user interface and reporting features of network design tools are an to meet business objectives — whether they be cost or customer service important consideration when selecting a Network Optimization tool.
The related. Often, premium production capacity overtime or premium interface must allow a user to set up what-if scenarios, solve the scenarios, transportation is available albeit at a higher rate and the planner can make and then evaluate the results — ideally this should all be possible without IT the decision as to whether incurring the additional cost is necessary. Output reports should be user configurable to provide comparative Supply Planning Modeling data that can be used to develop business cases.
In addition to numerical reports, network design tools also provide usually maps and graphical At the network level, Supply Planning software uses a model similar to representations of the supply chain that illustrate different network Network Optimization — often a pared down version of that model based configurations for presentation purposes. Network Optimization sourcing decisions. Demand is typically combination of near-term customer orders and long-term forecast.
At the level of the APS Modul e Detail: Supply Planning individual facility, the manufacturing model can consider of line-level Supply Planning software helps companies create day to day operating capacities and product level routing requirements. Additionally, batch-sizing plans by modeling manufacturing and distribution constraints and creating functionality is available to make sure that the deployments and net a supply plan to satisfy expected demand. The results of a Supply requirements generated by the Supply Planning tool reflect realistic quantities Planning solve are a daily distribution plan for movement of product that can be used in execution.
Typically, optimization methods linear or integer programming The ability to develop a supply plan that improves service and reduces costs similar to those used in Network Design form the basis for the solution and is the primary objectives most Supply Planning implementations. However, heuristics are used to modify the initial solution to reflect batch sizing or with regards to the specific problems companies hope to solve by using a Sup- other business requirements.
Roles are commonly divided up by facility, geography, or product line. To accommodate this, the software architecture must accommodate many users and be designed to allow users to make and evaluate changes within their scope of responsibility and also communicate changes to other users.