Last-mile logistics is both a source and cause of problems in urban areas, especially problems related to traffic congestion, unsustainable delivery modes, and limited parking availability. In this context, multiple sustainable logistics solutions have been proposed. We focus on micro-depots (MDs), which can function as a consolidation center and a collection-and-delivery point for business-to-consumer (B2C) small parcels. This paper presents a new research idea that extends the existing MD solution by introducing the concept of a shared MD network with parcel lockers. Such networks enable multiple logistics service providers (LSPs) and/or business partners to use an MD while minimizing their individual costs and optimizing the use of urban space. We present case studies of such shared MD networks operating in the cities of Helsinki and Helmond. We provide a framework for auxiliary businesses that can exploit the existing MD structure to offer services to the surrounding population. Finally, we define metrics for evaluating the success of shared MD networks while considering social, environmental and economic objectives. The case studies highlight the complexity of implementing such a solution; it requires stakeholders’ involvement and collaboration. In particular, deciding on the location for a shared MD network is a critical phase, since local authorities have their own regulations, and residents’ preferences are usually different than LSPs’ ones. Nevertheless, if these challenges are overcome, this sustainable last-mile logistics solution has a promising future.

The current trend in modern project management methodologies is to maximize project values. We suggest a quantitative model that balances time, cost, and value. It generates detailed project plans, which are feasible with respect to time, cost, and resource-constraints, and considers interactions between technical performance, time, and cost. Such interactions, which existing project management models typically ignore or project managers deal with intuitively, are important for increasing projects' values. The model, which extends the multimode resource-constrained project scheduling problem by including value, generates an efficient frontier that includes the best project plans for varying project costs. We provide illustrative examples to demonstrate the suggested approach.

TutORials in Operations Research is a collection of tutorials published annually and designed for students, faculty, and practitioners. The series provides in-depth instruction on significant operations research topics and methods. INFORMS has published the series, founded by Harvey J. Greenberg, since 2005.

This paper deals with the stochastic multimode resource constrained project scheduling problem (MRCPSP). Stochasticity is manifested by uncertain activity durations. The objective is to find a minimal duration robust project plan that determines activity modes and schedules. Robustness ensures that the plan is feasible for any activity duration realization within an uncertainty set. We formulate the robust MRCPSP and develop an analytical solution approach.