Project Scheduling with Time Windows and Scarce Resources: Temporal and Resource-Constrained Project Scheduling with Regular and Nonregular Objective

We are pleased with the response given to the first edition of our book by our eolleagues and students, whieh makes a seeond edition neeessary only just a year after publishing the first. Obviously, this is due to the distinguishing feature of the first edition, namely 1. eonsidering general tempora [...]
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We are pleased with the response given to the first edition of our book by our eolleagues and students, whieh makes a seeond edition neeessary only just a year after publishing the first. Obviously, this is due to the distinguishing feature of the first edition, namely 1. eonsidering general temporal eonstraints (arising from minimum and maximum time lags between projeet aetivities) and several different types of searee resourees for projeet seheduling, 2. studying a large variety of time-based, finaneial, and resouree-based objeetives important in praetiee, 3. performing a thorough struetural analysis of the feasible region of the projeet seheduling problems in quest ion as weIl as a classifieation and detailed investigation of objeetive funetions, whieh ean be exploited for developing effieient exact and heuristie solution methods, and 4. diseussing new interesting applieations of resouree-eonstrained projeet seheduling to produetion and operations management. Most of the new material in this edition is related to applieations of resouree-eonstrained projeet seheduling. Aside from eorreetions of several errors and some minor improvements and supplements, we have particularly included 1. applieations to investment projeets and hierarehieal planning, 2. two additional types of resourees: (i) eontinuous eumulative resourees, i. e. storage facilities that are replenished and depleted at finite rates and are found in proeess industries with eontinuous material flow, and (ii) synehronizing resourees, e. g. units in metal casting industry' that proeess several operations in parallel, 3.