A Supply Chain Is a Complex Network Which Involves Theproducts, Services and Information Flows Between Suppliers and Customers. Atypical Supply Chain Is Composed of Different Levels, Hence, There Is a Need Tooptimize the Supply Chain By Finding the Optimum Configuration of the Networkin Order to Get a Good Compromise Between the Multi-Objectives Such As Costminimization and Lead-Time Minimization. There Are Several Multi-Objectiveoptimization Methods Which Have Been Applied to Find the Optimum Solutions Setbased on the Pareto Front Line. In This Study, a Swarm-Based Optimizationmethod, Namely, the Bees Algorithm Is Proposed In Dealing With Themulti-Objective Supply Chain Model to Find the Optimum Configuration of a Givensupply Chain Problem Which Minimizes the Total Cost and the Total Lead-Time.The Supply Chain Problem Utilized In This Study Is Taken from Literature Andseveral Experiments Have Been Conducted In Order to Show the Performance of Theproposed Model; In Addition, the Results Have Been Compared to Those Achievedby the Ant Colony Optimization Method. the Results Show That the Proposed Beesalgorithm Is Able to Achieve Better Pareto Solutions For the Supply Chainproblem. Increasing Competitive Pressures Are Forcing Companies Toincrease Their Rates of Innovation. the Increasing Rate of Innovation Shortenseach Product’S Duration In the Market, Thereby Compressing Each Product’S Lifecycle. Without Proper Management, Increasing Product Turnover Will Increasedesign and Man ...