Collaborative LogisticsRicha AgarwalSchool of Industrial & Systems EngineeringGeorgia Institute of TechnologyWhy collaborate? Increasing pressure on companies to operate more efficiently Increasing pressure from customers for better service Realization that suppliers, consumers, and even competitors, can be potential collaborative partners Connectivity provided by the InternetHorizontal Collaboration Buyers’ collaboration Group Purchasing Organizations (GPO) Joint procurement of goods Economies of scale Example – automotive industry, healthcare industry Logistics exchanges: shippers’ collaboration Joint procurement of services Operational synergies Example - truckingHorizontal Collaboration Sellers’ collaboration Alliances among carriers Coordinate/regulate prices Operational synergies Example – airlines’, ocean-carriers, and trucking companiesVertical Collaboration Sellers collaborating with buyers Vendor managed inventory Information sharing Operational synergies Example – one supplier and one buyer, one supplier and multiple buyers Logistics networks Operational synergiesTools Model and solve the underlying problems Optimization Allocate cost/benefit among members in a fairway for sustainable collaborations Concepts from cooperative game theoryOutline Cooperative game theory Shippers’ collaboration Trucking Finding the system optimal solution Allocating cost/benefits Carriers’ collaboration Containerized sea-cargo Network design from an alliance perspective Shippers’ and carriers’ collaboration Trucking An exampleCooperative game theory A cooperative game is a game where groups of players ("coalitions") may enforce cooperative behavior. The game is a competition between coalitionsof players, rather than between individual players.Notation N – set of players (grand alliance) S – subset of N (sub-coalition) opt(S) – optimal value achieved by players in S {x1, x2, … xn} – payoff to playersSolution Concept: CorePk∈Sxk≥ opt (S)Pk∈Nxk=opt(N)StabilityBudget balanceCollaboration among ShippersTrucking industryTrucking IndustryEach shipper plans each shipment with only a handful of carriersEach carrier works with only a handful of shippersU.S. Truckload capacity moves empty nearly 20% of the time$165 billion + inefficiency yearlyHighly fragmented: 100,000+ shipper & 250,000+ CarriersAsset Repositioning Asset repositioning is a “hidden” cost that everybody pays for, but no one controls individually Neither shipper understands how its actions affect the costs of asset repositioning Carrier must optimize asset utilization to respond to both shipper requirementsTuesdayShipper AWednesdayThursdayShipper BShipper Collaboration Asset repositioning The cost of asset repositioning is included in the price charged by carriers Shipper collaboration By providing continuous moves shippers can negotiate better rates from carriers Increase the opportunities for continuous moves by collaborating Since no single player controls asset repositioning costs, they are a “hidden”cost paid for by all … this problem may be relieved through use of collaborationCollaborative LogisticsCollaborative Logistics Business Model Shippers collaborate with shippers and selected carriers Create and execute regularly scheduled and dynamic collaborative routes Major Benefits Reduced asset repositioning Cost reductions ~10%Continuous Move Example from Nistevo NetworkKentChicagoNew JerseyChicago: Land O’ Lakes packaging vendor Kent: Land O’ Lakes plantNew Jersey: Land O’ Lakes distribution centerThrough Nistevo a third company with New Jersey – Chicago traffic was identified• 2.5 % savings of Land O’ Lakes $40 - $50 million finished goods freight bill• Carrier avoids any empty movements and uses 1 truck instead of 2Goal: Collaborative RoutesCedar RapidsBangorWellsMechanicsburgChicagoBuffaloGreen BayCompany 1Company 2Stand AloneStand Alone$3,821K$3,821KTogetherTogether$3,090K$3,090KSavingsSavings$ 731K$ 731K19% Savings19% SavingsState-of-the-art Shippers meet quarterly Identify load matching opportunities Build regularly scheduled continuous moves Jointly negotiate with a carrier Allocate the costs among themselves Industry standard: proportional allocationsCollaborative Tours Optimization Problem Given a set of lanes, find a minimum cost set of routes covering all lanesTraversing a laneRepositioningLane Covering Problem (LCP) Given A complete bidirected graph D=(N,A) A nonnegative cost cijfor each arc (i,j) A subset of arcs L (lane set) Find A set of simple directed cycles (not necessarily disjoint) of minimum total cost covering all arcs in LLane Covering Problem LCP can be solved in polynomial time: Solve min-cost network flow problem Decompose the solution into simple cyclesDesigning a Sustainable Collaboration MechanismDesign a mechanism to allocate gains from collaboration such that All costs are allocated No one (no subset of the members) should have an incentive to break away from the collaboration.The Core Does there exist a cost allocation α in the core: The total payment collected from the shippers is equal to the total cost of covering all the lanes No group of shippers would be better off if they decided to opt out and collaborate only among themselvescost recovery budget balancecompetitiveness stabilityStable Cost AllocationCost of each lane = 1Total cost without collaboration = 6Total cost with collaboration = 4If blue + green collaborate, their total cost = 2If red + green collaborate, their total cost = 2Payment(blue + green) = 8/3 > 2Payment(red + green) = 8/3 > 2NOABIs an allocation of 4/3 per lane stable?Stable Cost Allocation?Primal problemDual problemCost Allocation From Dual Payment that is allocated for covering lane (i,j) ∈ L Then Budget: Stable:Cost Allocation From Dual Given any S ⊆ L, let (lS,yS) be the optimal dual solution for the associated linear program LP(S) Note that the optimal solution (l,y) to the original dual when restricted to S is feasible for LP(S)Fair Cost Allocation Is this solution fair? By complementary slackness:If a lane is traversed more than once the cost allocated to that lane is 0Stable Cost AllocationABCost of each lane =
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